{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "from __future__ import absolute_import\n",
    "from __future__ import division\n",
    "from __future__ import print_function\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import tensorflow as tf\n",
    "import numpy as np\n",
    "import pickle as pkl\n",
    "from sklearn.datasets import make_moons, make_blobs\n",
    "from sklearn.decomposition import PCA\n",
    "\n",
    "from flip_gradient import flip_gradient\n",
    "from utils import *"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Make a blob dataset. Dark vs. light colors distinguish domain and redish vs bluish colors distinguish class."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7f0012b1d250>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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YpRLhFUtouf92Br/zS6ZeeA01EMBKZwku68IqlsjvO8rks1vxt7cgFIVAZysAimHgWBZmOjcn5uDh4XFhuaQMAIDRkKD7zx6lOjGNtG18zQ3nFYQMLulkxf/x5wx0tpDdddDNiPH7qIxPoQb87or6LGjhIEiJVSojhKgFMJ1qtbZSFqpK0z23MfyDJ5G2Tead/Timha+lEX9nCyM/fZrm+24jdt0V9P3N/4e0bXAkpeEx6q67EsVnENu8gfzRfuyqicgV0etibspkwI+DxNeYoOGOG/El6qims4w+9kMab78RxdApDY+h6DqKomKVSqAIqJjYEmTFdFtCnhavEMpcx1p2/xFGfvRrhKqiaCrJbTuJbVxD1x9/nmLfAHp9HD0epTo+5bqMImHUXB4zm2fiN1uIX72eyJrlbowG4T43Dw+Pi8olZwDATZH0NTe87/MVw6DrDz5LcsvbJLftpDqVIrxqCY133XRueWNFoTwxzdQrb6JFQvga6wl0tSIMg8j6lbXDImuW0fOnj3LiH7+P4vcT3dBLsKvNlXYOBZl87jU33/+eW7BLFddQbN+LmUpTmZjG39JI6+9+kvF/fZHKVBKrWMTf1UZk1RIq41MkbthUC/yqfh8IQe7AURwJViaPFg3jODbStBCqgjQ0cCSOdLCKJcxcHjOTQ/EZBN4TPLcrVcZ+8Sy+xkRNTdSQksyuA0SvWO1WBh86TrVqkt65H6MujpXNIRBUJ6YAQXLrDiqjkwS622i486bzKlIDyB/qI/X6O1j5IpG1y4lfswEtHDqva3h4XO5ckgbgg2KXyghNpeG266m/9TpwnAXtIhzLYujbv8TX0oDQVMoDIxQHRrCKJdb87f86xw3lb28m2NWKLxFHi7w7eSmGgZnKoBgG/pZG9Bn9NbtYJv3Wbgp9A0jLwi6UCCzpIl5fR3hFL6WhUXKH+igc7KMykSRx4yZCPR0IVcFK58mMTuFrb8TMFTBTaZyKCY4NquoGwC0LaTvYhTKFo/0gJav/23+ck4ZZGZvELhSw8gXMdA49HibQ0YYWDJA7cBSrWCK9fS+ObVMeGqMSGEePR1GjIfxBP4XDJ6imsyAEwWXdNN5543n9fpLbdjD+q5cw6qIIQ2fqpTfI7TtM1x8/VDNIHh4e58YzAKdRHh5n/NcvURocRdFUYtdspPH26xccnCweH6Q6nSTY3UGwoxVn3QpwHMqjkzhn6Kvr72gh8/a+WQbAqVbn1ewJLe2icOwk2V0HKPadRAkEsbM5YmuXUxmdoHjkBEYiTrUuip3Nk9m5H8VnICtVENLVHprOoIUDmFnblVdQFNfFZFoIn4EWDiGEoOH261F0Dbsy977tQpH09n01SenKyDjFYwMEl3ZRGhylOjZF66fvojQ0RuqNd5CmhV2pILOS4vEhpGOj+H04tkP6rd1Y+eIc6ekzYZcrTD67lUBnS604TAsFKQ6MkNt35JwZWh4eHu/iqYHOYKYyDPzzTzBTGYJdbRhN9aS2bmf8Vy8u+Bp2sczpojWKps3Sw5mPums2gnC1fKTjYOWLlIbGaL7/dvxtzW5G0gxWvoA5laLl03fRePvH8DfVY6YyjD31sisRHY+iahq+lkaq0ylKJwYZ/enTTDzzCnpdnNjV65G2g1AUVE1DnPpSBGo0TKi3A19jAn9bk/sM6mLz9ibI7juCEvCjaBpaKIiRiGNXqhT6BrDzBYwG1zUUXt5D8+98HL0+TjWZIX/kJEJVUAN+t75BQHlsmsz2vQt+xuZ0GhxnTmWwFgpSWIDgnIeHx7t4BmCGzO5DSNuuBWoVTSPQ1UZm18EZ0bazUxoaI7l1O6nXdzK9bQfVaTcb6FRvXOO0mIRjWeQP9TH53FYKxwdpf+Q+At3tlEcnQUDb5+4mccMm2h+6ByUYoHBykPzxATLvHEQCUy9sY+Qnv6Y8PoleH8ecSlI4dhJpO4CbiaQn4mjRCKiKK90g3EnSaKhDj4YJLevG39yA0ZhADQWRlonjOGihIKFlPaihAE7VRAvP9c3nD/TRcMt1KAE/1ekU1aSr/W801aPHY7N6CRgNCepvvho15AcpUcKuwUAAErSgj9y+owv+PanhIFK6tR2nY5fK+BoWIDjn4eFRY1FcQEKIfwHuBSaklOvmeV8AfwfcDRSBL0kpdy7G2AvBsSzKA6M4loW/vXlWVewpqhNTNf+xuwofxS4UkbZNZTp11srU0tAY/Y/9EC3gJ7i0m8LRk5QHR4ltXo8QgthV6/C3N7v3Uq0y9L0nKPQNoPoMHNNC8fvo+vJn6PjCA7VrWvkCydd3kn7nAKUTg2jBANVMFgHY5SqK36AyOonRVI/wuembhWMnMRJ1OOUqkfUrsPMlgj1t6HVxpl7chpUvYOeLCFXFqVRQI0HsdM6NcQgFp2piLG0gfvV6nHIVp2oS6GilcPQken28Zhy1cBBFU6m/5VqsTA5p27U6hPjm9Yz+4jeo4WCtWtguVqj/+LVMv/A6ZjaPncm5k39dFCMaQo8vXF5Dj0WIXbGazM79+DtaUDQNM51FKArRK1af+wIeHh41FisG8C3ga8B3zvD+7wDLZ76uBf5x5t8LTnlskuHvPY6ZybvOGVWh+f7biV81204FezvJ7jkMQpDattNduasKZjLN+OPP4f+TR+Y1HADTL72OFgi4q+tEHH9LA/nDJ6gMj7PkP/wh0fUra5Nh5p0DFPsGCPV01M6vJtOMPfE8PX/6KOAaicFv/ZzUazsx0xn8LQ0Ujg3gVE2cSsVNvTR0zEyO8ug4KCpGfRxzOoO/px0tGyS//xgICHQ2YzTECfR0UJ1Og6ZSGZ9Cj4WQpo0eCqIk4piFIrJUoTw0Tu7ISfytTSihACM/fRqhKEjHJn71BprvvY3ETZsZe+J5gl1t6PGoKy0xMELzfbcRvXINxZPDZHcfAKEAEn9bM3U3Xklyy9to4RBq0IfQNKxcgcpEksj6lUgpFyTWB9B8320oAR/pt/YgbQdfayNtn7+nZqA8PDwWxqIYACnlFiFEz1kOeQD4jnT9IW8IIeJCiFYp5ehijH/G+7Jthr//BDiSYFcb4E6uY798lkB7y6xU0ci6FUxv3cHks1tQfQaqYWAVStRdewVmOktmxz7qb75m3nGK/SMY9TM5/opCoLONQGcbxYERohtWzarqze455EpAz1BNZSj2D1MaHCO0agmJGzZRONZPaWDUDY42JNxcedWdTLW6qKsOatlu9y/HIdDRipCS0OqlWMk0lclp/J0t+BrqKQ2MYiYzaHUxjPo6tIAfu1hCVqsIQ0ePR6hMJlF1Da2xnsroOJl39mNnC/g7mgmv6HUlHhyH1Bu78LU0Er96g6vp89qOmvxD/c3XUHftFQhFoe2zv0PiY5uoTibRIiEC3e1Mb3mTUG8XlfFJzFwBJ5vHKVUwGhIMff9xUq/vpO3z9y6ob4BiGDTffSuNd9yIY1qowcCCjYeHh8e7XKwsoHbg9Ajd0MxrF9QAlIfHMdO52uQP7uQhFJXcwb5ZBkAN+Gl/6B4yO/ZhZXNUptPo9XEUvw89GiG378gZDYCvuQErnUU5zU1k5Ys1LaHTUQwDabkxheLAMFMvvE41mcIpVznyf/09DbfdQN0NV9T86KfO10JuxbBj2QihgOpmxAgEdqmEqhsoAR9WsUR0w0q3v7CmovjCFI71I+2T1N24mfCaZfg7Wxj+wa+QlLEyWexyFS0SQqQzqMEAod4u0m/tIlJeRbCnHWwHYej4mhtIvbGLumuvoOkTN5O4cZNbUxALz8nBV4MBjMYERn0cx7QwMwX8PW1I6eBYFk6lSnj9ClTDwN/YgJ0rMvS9x1nyb35/wYV7imF48hEeHh+Aj1waqBDiK8BXALq6zr+Byem4vXPd76upDOXhMaRpgaLgzJPeqCfiqAE/ZjKFHosgpCS7Yz9KOEjTJ2+edaxjWVjZPGowQMOt1zHwLz9BqCpaJIRVKFKZmKL9kfvmjBG/ZiND3/kFatBg4plXqQyP4dg2aiCAmUwz+vOn0erjrribInAsC0XTMBrrKRwbACHQomHsQhGKJdA17GwRtcFHZWwKNeBDb6rH35ig0DeAU6q4K37HoXR8gNLxfoSmo8WjWOks0rSxS2XsXB4rFCbQ247q01F0ncroBGOPP4ca8CMUBX93O/625tpn0cKhORO/Xa4w+vNnmHrhdcqjE5jpLMGedoSikNl1kPCqJRhNDdjFMpWRCXwtjSgBH4quURmbojQwQrDXa/3o4XExuFgGYBg4/X91x8xrc5BSPgY8BrB582Y53zELxdfejKLr5I4cp3CwD6GpSKFQnZgmtKKXxjtunL3adBzsYhGkRAsHEYqC4/dRPDE0a7eQ2XWAiademTEigrobrqT9ofuZful1igMj6PEIbQ/dS3T9qjn3FF61hPg1Gzjxd9+mcPi4mxlj6KhBH2ooQHV8isnfvErjx69Gb0xQGRqvrezVWBjV58PMZBFCcdM+Az6wbBSfgVMsu41fHIkWjdBw2/VUxqbI7DpAcGlXzUeeP3oCp1rFTGbcIjDAkQIrm8M5la6qq1TGptBmsnZOSVYYjXWk3t4DuHUJ7/W7jz35AsPfe6LWSF6aNpnt+9BbGxECiicG3ewkJE7VpDKVYuqFbe7JikLTxLRnADw8LhIXywA8CfyFEOJHuMHfzIX2/wOoPoOme2/lwL//r+4q1lGQtknsqrVURico9A0QXtFbOz5/+DiK34caClKZTM6kTwqi65a7xVJAoW+AkZ88hb+lEbUxgWNZTL/yFg2330Dvv/0Sjmm6ufVn8EkLIaiMTxNZ52rrK34DoamY6Rx2sYxdLJPfe4jYuuWElveg+v2UR8YItDcT6GrD19xAsa+f1Lad2MUK1ak0QhGIQABpmsiKQv7AMcpDY66yaTLlBo1PM3RC192AsE/HV19HdTIJtg1CoXhyCLtYQgn4QVWRjo2ZySEtC9VnMPX8Npyy6cZ3EbQ+eBexK9cCbirm5DNbsEtlnIqJNE30eMxtIn98kMRNV1MeHkOPR7EyOXBsnEoVvS7mVg0PjDL6s6cJdLbO2ml4eHhcGBYrDfSHwC1AgxBiCPhrQAeQUn4deAo3BfQYbhrolxdj3IVgxKLEN29AqKqb59+QQK+LUhmfotDXXzMA6R17GfrBkxSOnKh1/Qou6ya8rIfK+FRNAyi1bQd6NFJLGVU0jUBHC6ltO6m/+ep5WxdWJpMkX32bzDv7KfQNUDjaj5SudLNdkii6ilMx3cIxn46vpQF/RwuF4wN0fukzFI6eIHfgKGYqS/IVt+WiUFXUaAjybpzAqVZRAj46HrqXylSS1LadVMYmkZaNGgmRP+LuNnxN9ah+H06pjNHYgK8+jmoY5I8PQLWKBMqTSZAORn0dweW9Mw1fDHL7DqMYOoH2ZhRdmwmoP0dwaberHJrNk9l9AKdUQVYq2KUKTsWcSaGV2MUSWiREaHk3Qggyu/ZjJOowMzkqoxMohkHqzd0c+c9fo/6Wa2l98C6kdCuPtUjIawvp4bHILFYW0MPneF8Cf74YY50vit9A8Ru1TlW1e7LsWlqnmcow/sTzhJd0YU6lsdJZ9EjY1dpvqgdkTQW0msy4bpfTx9B1N0Wzas6ZpKpTSfq//gPsYsntk2uaVKeSCE1FnZGEljZI28J2HPREjODSblKv7aQyPsW+193Mm/pbriXY1Y50JGNPPIti6GjBEKHuNnytzaS278Hf1oy/tQnHsrDLFWzLhqqJk8yg6Br5Yyddd5Pfh7+zDadQxCpVMFMZhCqQp9poJmLu57EsikdOUnfDJqx0BrtUdtNDZ45TDAMpJaX+YfT1K8kfOubWFGgqihHGMS2k41CZTuFrqqcynaI6PoVjO1jpHNKyCfS0o+g6ajiEv6WB8sgkVrHM9NbtFAdGkKXyTGMcnYY7bqDu2isuxJ+Jh8dlySVfCexrbcLf2kR5fKr2ml0sAZLI2uUAFE++230rvnk9en0cO1fATGepjk/R/oVPYdTXAa4Pv5rMzBrDzOZdZcx5FC2Tr+100zUrVdBUlIAfu1SiOpVCq4ui+P0ogQBC0dDCQQK9HVjZHNI00eIRrGIRWTXJbN9L9sARCkdPoPh8KD4DvS6CEgxgZXPokRARKtRkAAAgAElEQVS+lkYAsnuPYE6l3IYroSB6wr13O1dAq4tSd92VbHzsv+JraURaFlIR7u5DVfE1NxCcaTbvlKtk9x1h9GdPMfbEC+T2HUV7b9GWlLVMpeyuQzTcch1OpeoG4BXhuoNKZQJLupCVqus60zUCnS0Eezrc6mUp0SIh8kdOUhoepzI8SnbHPga/+TO0uhiBjha0aJixx58nu3/hVcMeHh5n5yOXBbTYCCFof/g+Rn7iNokRikDx+Wh75P7apM5p/nrV7yNx/VXYxRKFk0N0fukztX654DYtz+4+RHFwFCMewSqUcKomHb//4Lx+/+LJIfR4lNLACFYyjTmTOeQUKtjJDEJV3e5ckTBaLEx4eS/loVEUv49y/zCKrqPFwhSPD6IMj6PPuGyUUAA1HCK8rIfgkk7SO/bVdPurM8ZOIFECfvT6OJZfozqeRI+E6fnLL6KFQ2z8xn/jxNe+y+TTW5AS9Loo/hkjIk0LRVXcDCW/D19TA+XRCaZfesOtoWisd2MFuk6w1y1qE6pCoKudlgfuIvX6DoSuoUXcrKtgbwd6Ik7dpnU45YrbtOboCfLH+lF0DTObxymU8bfU42trJrf/CNI0Xfdbj9sY3qiPk9q6neiM4fbw8PhgXPIGAECvi9H91YddwTXLwmiqR9He/ejBJZ1uY/Zy5V3pYyEwYlGCy7oBV9PHyuQQmkr3nzxCZvtein2uAmb8mo34W+fvFOZrrqd0Yggl4KMykcRoiKNoGk6pgpaI4eSKNN56PQhB/uAxrGwOM5un0DeAomtI2ya7+6Dbjay1EfPoSexiCatYRPHpFE4OocUihNcsQ4+GKfYPIVSBY5oofj9aLIyZTGNl84CkMjbF0PeeoOMLDxBdt5KNX/8vjP3rCxz7m3/CTKVAOkhbYOUKSNvB39xAdONqhKKg18fJ7TvK1MtvUnftRhRdp+3he2s7n/jVGxh7/DlCy7oILelwUz0npohfewXBrjZGfvEs+QPH3EI24er5CFVFS8QpD48TWtaDnoi5WUmlCkZ9HZXhsVrVtBrwL0iXycPDY2FcFgbgFGdqOahHw7R+7ncY/enTbraPBEXXaP38Pa7K5PEBxp94nmoqgwBCK5fQfN/tNNx2/TnHTNywif59RxGqgqJrWPkS0rHxdzRjZfKuUmYqQ2zDKnq++nmmX3uHE//zXwh0tGA0N+CUyuSPnKAylURKiR4K4GtrQk/EKQ+MUDYtev7kEepuuAotFKDQN4CvtZmTj/0QWam62UW5AugqvsYE8c3rqIxOMvnsVlof/ATScQit6KXuhitcKezRSRRNBSFQfQaRtStqLh4jHiW8vAdfRxMdjz5AoLt9lv5+bNM6SgOjZPccRCCQSIJLOmm862M4pTKVySnKA6P4GuvdGgfbxs4Xabz9ejf9VLiqqdJyq3u1aAROK6SrTqeIrDt7RzYPD4+Fc1kZgLMRXbuCYHc7pf4RAAI97UjbYeCbP2Pou48jhCDQ3UZk3UoKxwYY+eGv6PrKQ+eUIAh0tdHx+w8y/P0n0GIR1wXl9+FraybQ2YqZyszIO9/gTrSqxujPnwHHcXX8cSuNzVTOdbH0tKPFoigzqZ1KwEfjne/WM4RX9LrVu0jGfvkchWMnUQI+tJBbsGY0JGq7iqZ7bmH88efI7jmMHgrS/ImbKY9NEdu0Fn9rM4Pf+tmsz2IVSih+nfg1VxBetXTOZ1U0zZWBuGmzG4OIhAh0trqfKxREj4YpWzZmZmYV7zjEr7uC6niS5k/fSX7PYTe7KRIids0Gpp59DSXgx8rlMbMFFF2j/uarP+Bv2sPD4xSeATgNLRyqBYal49D/9R+Q2XUQNejHSMQxU1nSb+yk/tbrKQ2NUh4eJ9DRcs7rhpf3sPx//3O0aBgrX8Tf0ogQgsLJIQCEKmptHgUQXb8CAZSGx1F0jdgVa3AsG1mugFCQlSqldBZzOo3iMzj23x+j4c6PEd+0DiEEimHQ86eP0njXTRz9v/8ROZOdZKZz5I+eINDu3nPuYB+Z3YcI9nQghHCziGbea/v83Vi5AkPf/YXb+MUwAEloWQ+Nt99w1s/rb2msxRJOJ9DZhh4NY+WKIFzDpkXClAZHab3/DkYrJpXJaXf3UDHp+upDaJEw1YkpIutWEL96A3pdbOG/UA8Pj7PiGYAzUOofpjw6gRYOoagqQgj0aJhqMkV1IgmImWyihaFoGl1f/l3GnniewvEBysNjVMamCK9aSvKVt5l+8U2a7v44sU3rUQN+9FikVhErHQd/Uz1aIo4eDlIaGqU6mULRNYymBIrfx9jPn0FWqyRu2AS4tQHh5T003HIt/f/0Y3wNCTcV9EAf2b1HaH/0fjJv7aE8Mk5u/xGwHYzGBOEVvVilMuZ0mp6vPkRk3TIm/vVlrHSG8JrlNH7yZkJL359ER+zKNUw+u3VW8V1lMklwSSf+1iZ6/vwLlPpHsApFfM0NZ3TZXQzscgU7X0CLRbz6A49LFs8AnAErX0QgMBIxCoft095R3ACsYZz3BKXXxej80mcoDY5w/O+/Q3zT+trk4pgWE0+/QnjVUlo/80lGfvQrJLg6/ZZJy2c+Sal/mOrkNIVjA1hZt2G7VgiTfWc/savWMf3Sm8Sv2VgLcEvbpjQ4RrC7DSudw7YsQIKUmKksk8++Sm7/UVSfgaJpWPki1Ykk/q62GfVRqL9xM/U3bl6EJ+oGifMHjlHsH3ZbVVZN1GCA5ntuBUCoKsElH1wGoppMM73lbfIHjqFFQiRuvtpVZV2AYqi0baZe2Oam7yJRdJ2Guz7mdm7z8LjE8AzAGfA11SOl4zZCaW5w0xFDAexCETtboPF3bzprk5izYSazqH7frJWlomsgodQ/QuzKNfT+uy+TP3Qcp2oSWtKJv7MVu1Ck7398A2nbBLrb8DU1ovoNqtMpV/oh6McullFmms+bmRyyWqX+5msxp1OYhSKq3w/SYer5rSgBP+qMJDQItyBspsGK/gG19Z1qldTbe8i87bZ7jG1eR901G+n8w89SONpPaXAEo76O8OqlZ+yz8H6wcnkG/uknOOUyRkMCp1Jl5If/ipnK0nDLuVtQTL+6namX3yTQ2epma1Vc+XA9Gp437uHh8duMZwDOgK+5gdim9aTf3kN4RS96LEL+6AlCK3vp+cvfI7z6/U8GQlVmtU2sIWVt5W0k4iRuuGrW24rfB7ZD4vorKQ+NofpdKWQtEqbQN0DdNRvRQu8Wo7kprQIcB6MhgTHTMjG79zCKzwDHwd/ZRnVyGnDdHqgCf0cL0jQRC5BaNjM5cgeOYueLBLrbXfeQojDy41+TP01ye/KpVyidGKL9C58ismYZkTXLzvu5LYTMrgPYhQKBTlcCXDF0FL+P6ZffoO7ajbOylt6LtG1SW7e7UhczuyjFZ2Ak4kxv3eEZAI9LDs8AnIWW+28n2NNOevs+tHiEtofuIXbV2g/sEw4u6UTxGViFYm31axdLKIZBcB7/upUvkH5rD7l9R8juP0poeQ8IgZnNo4UCWKUydrFEw12z1U3VYID45nWk3tjlZuOoKnbRLVzztza5wVgJvsY67FIFM5cnsm4l/qYEYgGfsdg/zNC3f4E0LYSuMf3SG4TXLqfu+qvIHzo+S9Uz2NtJ/vAJyoOjBE7rz7DYlAZG50hUK7qGlBIzkzurAXBMC7tSxfcew6f4fVipzBnO8vD47cUzAGdBqCqxK9fW1C4XCzUYoPlTd3Dy779DZWwKJWAQ7O6g6ysPzXGH2MUSA9/4CdXpNEZ9HD0aJvXadmKb1mOXylQnpnFKZTq//LvEN62fM1bjJ24CIL19nysBncnh72yheHwQIxGlOj6FUBXUgA+nXEZIqL/t+ln+csc0yR86TvH4AFosSnT9CvS6GKM/e8aVmphxOQHk9h91jZCYR2VECKpTqQtqAHwtjRSOnJyVLSRtGyFBi4TOcqa7Y/K3NbkusNPce9XpNPGr57S69vD4rcczAB8CVr7A1HOv4Ztxy7h9fhW3Wc17yOw6SHU6XetqFr9mA45tk91ziLobrsTXVE/0yjW0PHDHnHOdahW7UCJyxWoq0ynGf/kcaiQMrRItHCKz+xD+9hYq41M4pTKxzetpf/heYqf1S3aqVQa/+zjFvgG0UBCnajL90hs033cbViZbc7WcQo9FKA+PA87cDy4dtNOMxYUgftVaUq/vpDqVRK+vw6lUKY9OkLjp6gXFGprvuZWBf/4pdqmMGgpiZnJooWAtu8rD41LCMwAfAunt+7DS2VkZL1ahyMSvXyS8sneWG6d4fAD9tJWrouvU33w1+YN9NP3OLYRX9M7JRpKOw/TW7SRffpPKZJLc/iMoPp9bXOY45PYcInHzNW7/XUVh+f/2p/ha3Jz892bKZPcedpvYn+bOsfIFJp5+Bcdx5jRzl5ZNcImr3VMaHsff4sYAymNT+FqaarpBFwq9LkbXH36Oyd+8SuHYAGrQT9PdHydx/VXnPhm3cK/nz79A+u3dVManiV25htjm9bN2OR4elwqeAbjIOJbF+FMvUTjk5uP7O1oIL+9BCwUpDY5gZfOz3BdGQ4Ji30DttWoyTf7wcUr9I4RXLyXY3T5njPRbu5l85hX8HS3kDhxDr4uSP9hHsLcTI+FKTxRPDBJetZTS4CjBnvYz9tbN7T+G8Z7iKy0cwkxl8De52VGnir4c08IqFolv2oDRWMfks1vJ7jkEQHTDKhrv+tiC+/1+EPytTXR+6TOurIeinHfDeF9TPc333HaB7s7D46ODZwAuMuNPvkCxbwDpgB4NUOofwZxMUnfjJhCK24nrNGJXrSX1+ju1rlxTW95CVqoEl3djTqXpf+yHdP3R52uGQErJ9Ctv429pAkdiF4oYiThaMEBlfApfQwItFKAyNkloaReKT0doZ/4z0EIBylVz1mvScZASmh+8i4lfvUhxYLimqNp89y21nU3rZz5J84xrSjnLGBeKi2FsPDx+m7nk+wEshPLoBKntbpaNXSpfsHGqU0ky7+x3O5RJ6XYoq4ti5vJk9hwifu2Gd9VIZ/A11dP5pQdRDJ3kazuQpk1k3QpiV6zBaKhDC4eYev61d09wHKxcAcXvQ2iq2y3MtjFaGrHzRaRtu41r/D5KI+MkbthUE3ubj9imdbXMoVOURyYIr1pCsKOV7j95hO6vPkLHFx6g8/cfJLJ2tlibomkfyuTv4eFxbi7r/5lSSiaefpnUtp2Au4JVg346fu/BBWn8nC9mOocQCr6GOmLXbCC39zBWoYRdqhDobKHxzo/Ne16wt5Oev/w9ysNj+LvbUU9L0dTjUUqDY7WfhaoS6G7DTKYxEnGCS7vIHz4OqkpopdvMxsoX8be3kLjhKhLnEFcL9nTQ/MAdTDz9Ctiuzz+0tKsWdBbClcQY++VzWIUiAggu76X103fOScf08PD4aHFZG4Bi3wCprTsIdLfXVsFmJsfIT37Nkn/35TkrY2nbFI8PUp6YxqiL4W9rROj6gitZtVhkxn0iCbQ1429pxC6VKY9N0nLf7WetLxBC4O9odQXhTjvOyhXmBIGbPnkzA9/4CeXKBL72ZioTSSoj48SuWosaCZO48SrqrrtiwRN03TUbia5fSXUyiRLwu8HjGSoT0wx//wn0uhjBRBwpJcVj/Yz+7Bk6v/SZBV3fw2PB5IABQAV6gDOXdXgsgMvaAOT2HUENBWdN9HosQnFgxA1untbkxS5XGPru45T6h3BMm8LhPuxShejG1UTWLqf5vtswziGf4GtMEN2wkuzuQ/jbmhCqipXJ42usJ7z63JWxDbddz9D3n3B3DYWS665SoPurj8w6LtDZSs+fPUrqzd2URydof/R+ohtWoQZ8aNHw+3LJqAH/vPn72T2HQIiaERRC4G9vpnCsn+pUslZ97HGRGAd2AilgObCeS2eSfAf4JXBKmssHfBHoPeMZHufgsjYAKGJ+SQbkrDaRAKltOyn1DxPoaGX6lbcAgeIzMLM5yoOjDH7r5/T+xRfPmE1zipZP3YnRkCD1+js4VZPohpU03H7DHN//fETWLie8einD330cp1xBCQQILunAyhfnHOtrbqDl/tvPec0PipXNofpmf2YhxEw/4MoFH9/jNI4C38ZdHQeAfcBbwB/M/PzbzDTwc6AZd+IHyAPfA/6X017zOC8uawMQXbeS9Bu73ErRmYyRajKDryExx62S2bEPX1M91ek0Vq6AUR9HOg6V4QliV66hPDhG8fjgOfViFMOg4bbrabjt+jk59OeiOp2icOQEzQ/ciaIqoChI02TiyeddvaIPIVc9uKyHzI79s1b6TqWKomkYH6Kc82WHAzwOJIBTfwYJ4CTuyvnsLRw++hyd+ff0iT4MJIF+wGsU9764rLOAAr0d1N/mNncpDoxQ7B8GAa2fv2eO/19oKkg5KxtGSnenIGYCyPOtxM/G+eann+pWpho6YqZHgWIYSOn2L/gwiKxeSnBJF4WTg1STGSrjU5RHJ2i699Y5OwOPC0gayPDu5H+KOuDAxb+dRcfmVJ7GXOYpOvdYGJf1DkAIQeMdNxK7YjXlkQkUn0Gwt2NeN078mo2M//qlmkbMqSbxwZ6OmrvogjcwURSY12MlP7Scd0XX6fjiA+T2HyV34BhaOEjsqnUEOls/lPu5bDm1MnaYvayrAJdCE7VluEbABE7lQJRw3V3vrz+RB4tkAIQQnwT+DvfX8Q0p5d+85/0vAX8LnFqmfk1K+Y3FGHsxOF0q+UzEr9lAeWjUlVIO+CgcH8Df3oyvrYnSySEi61fiv8CTXmhpJ0LTXJ2amYIxq1B0DVfP3Irgi4ViGBdENM/jPAgBVwC7gA5cI1DG9ZNfCm2Um4G7gadnfpa4s81DwOK1k7jsEHLeIOh5XEAIFTgC3AkMAW8DD0spD5x2zJeAzVLKvzifa2/evFlu3779A93fYlMenaA6MU1peNwVPZMOsU3riG5cfVEKnnKH+hj9yVM4M8Jxqs+g7eH73nebxg+DZKrKkeM5cgWLrrYgS7pD6Ppl7Y1cHMq4cYC9uO4SA7gHuJR07CaBE7iT/zIujd3NIiOE2CGlXFAbv8WYsa4Bjkkpj88M/iPgAS4Nz+Mc/K1N+FubiG5c/aGMH1m1lOB//GNKAyMgBIGutgVlEL1fLMvhxECBk4NF/D6VFUvDNDe+/7zC/qECv3lpAlUV6Jqg70SBg0dz3H1HC4ZnBD4YftwV8Sdx3SP1uEbgUqJx5stjUVgMA9AODJ728xAwX++9zwghbsbdLfyVlHJwnmM85sE0HQ4fz3O0L4eqKKxeEWbp8l4U5fyCyOeLZUuefXmc/qESoaCKZUv2H87y8RsaWb088r6ut+X1KWIRDb/fjVnEojqj42X6TuRZveL9tdi8pCkCx2b+7cD933auX3t85svD4xxcrCDwr4AfSikrQoiv4mYrzyu3KIT4CvAVgK6u3x63xoXCcSTPvTJO/1CRWFRHSpvntkwyNlHhpusaLujYg8NF+odLtLW8u+I3TYdtb0+zpDuEzzi/FXsuZ1IqO0QjsyuewyGV/qGSZwDeyzDwLaCA69O3cffbdwGvA9tnXr8WuJ5Lb7XvccFZjD33MNB52s8dvBvsBUBKOS2lPFUV9A3O4pWUUj4mpdwspdzc2Ojt9UbHywwMl2hrCRAKaoRDGm3NPg4cyZLKVC/o2IPDJQK+2X8iuq5g25JU+vzHNmYMxnvjTqYpCQY85c5ZOMCPcTNeenAzXbpxJ/7/AbyIG/z0Ac/MHPvBwnkelyGLYQDeBpYLIXqFEAauF/LJ0w8QQpyeHnM/cHARxv1IIqVkcrpC38k845PlOZPd+TI1XUFVZ+/5xUztQTpjzjnecSRT0xWmpivY9gcbOxhUsay515BSnvfqHyAU1OjtDDI5Va09l2rVoVp1WLnMa7gyiync6tfTXTkKYOFm+vTg+vwDuFIIB3jPssvD49x8YBeQlNISQvwF8Bvc2Py/SCn3CyH+M7BdSvkk8G+EEPfj/vkmgS990HE/ipimwwuvTtI/VEAgcJB0tAS485bm9zVhAoRCGo4zzySMJOCfvWqemq7w/JYJsnkLJIRCKnfc3PS+g7bLesK8szdNqWwT8Ktur4GkSWtzgLr4+/M33HRdA44zRf+w+4w0TXDrx97/PV6ynMnPn2f+ZZuC+z/rwjZc87jEWJQYgJTyKeCp97z2f572/X8C/tNijPVRZu/BDCcHC7Q2vzuZDY+V2LknxfWb31+RWGd7kFBQI5WuEo+5vvPppEljvY+mhnezf0zT4ekXxxBC0Nzovp4vWDz1wjgPf6qjFnQ9H+IxnU/c2swr2ybJ5iyklHS0Brj1xvfvmvP7VT5xWzPZvEm14hCL6l4K6Hw0AK24O4FToR4b183TNM/xEi8l0uO8uawrgRebA4dz1NfNXhk3JAwOHMlx3abEeUs/APgMhXvubGHrm9OMjpVAQG9niBuvqZ+VBTQyVqZYcmhpetcohEMaYxMVhsdKLO15fy6WrvYgDz/YRSZromtiTgD3/RIN63NlCzzeRQCfxw0C95/2+mdw8+iGcA2EBEZw3UCnR+ImcYXgRmfe24xnIN5LdebrMv479AzAOZiarrD7QIbJ6QpNDT42rInRkJg/796R8r0iogghkPO4cM6HupjBfXe1UirbKAJ8vrmredM6syCKaX6w8TVVzDFsH5R0xqRYsohFdULBi/NnmMpU2bknzcBwkUhIY+PaOMt6Q+/LMF8UGoG/whV0K+NO+PXAjcDzuLLPCnAdbk7dqY3UIG6qhcCtEO4H3gT+BFcg7nKnguuw3o67q2rDjUx2nu2kSxPPAJyF8ckyT/5mFE0ThIIq/UNF+k4WeOCTbbPcL6dYuTTC7gPpWf7sZKrKimWRRZlk3uvzP53Geh8gsW1ZCxo7jgQpaZznXgEKRYtd+zMcP5nH51PZsDrGiqXhC1pfUDUdXnltkuMDBRRFIB3YuDbG1VfWXdBxs3mTJ54exZGSWFSjUnF4fss4pXIDG9Z8hJfGGm7F6+lEgE/jllvC3JjAU7jB4VOTfQw3QPwMcN/M+ZczjwN7cOMlKm7vhH8G/i2ueN5lhGcAzsLb76TwGQqxqOv28Bkq6azJ9l0p7r5jbsvIjWtjjE6UGR0vu5OblNTXGWzecOGrcmJRnU0b69x79ikIoFxxuHJdbN7Ve6Vi8+QzoxSKFrGYjmVJXtw6QSZrcu2mC7dMfHvX/8/eewfJcaZnnr/MrMws01XV3dXeoWEaBAgQoOfQkzPkDMdwNJrRSFqttNqVVroNnVZ7txdn4i7i4uJMxF7ExUbcxu3exp5CFyc7TuNnxBkOvTcACYAACO/aVnWXN5mV7v54M7u6Gw0QAAESnMEb0dFAVeaXX2Z1Pa9/3hInzzYY7DdRFAXfD9izv0Rvj87UpmuHTIeP1HBdf1kZxpIqhq6yZ1+J7VPpT2YeYr0tt5GJWRtWvFYFjgAvAgcRhfLrXJtmMQt4GakNDJC+hQe4fobSlBDwH6fz/HqQXot3gUc/pn19THJDAVxEZuctBvpXg2emK8bsgoXj+JydaZJftMmmdTZuSJGIa3zps8PMLbQoltr0ZA1GhhPEtKtv2fp+wMx8i5k5i0RcZeOGFHfu7mF0KMHJM3WCADZuSDEyuP4378TpBrWGs+ytGDrEzTj7DlW4ZXuG5DUIy7hewOGjNfpz5rJHpKoK2YzOe+9Xr6kCWFi0SCZXe1C6ruK6Ac2WR/Z6VQABwoW/B6mh2w3sQCzX9SSGWP820iPgAK8incQjSD/BOaQV808vss7liovkJb6NlK9Gw+OeRUJYf8D1QT4fVVGt3Usc2fevmNxQABeRbCZGy/JXNSm1LI9kQuVHP5+jsNRG1xVc1+ftfSWe/Oww1brDW++UWSrZ9GQN7ry1h00bVs/edRwf3w/WjeVfinieWOsnTjUwDGnMeuvdEp97ZJDx0eRyFZLj+JydbmG3PXp7jFW5i/ySjWmsvr6qKqBAte5eEwXgeQG+77Nm1AJ6TMGyry2pe67XpLDYZuX4Ztf1UVWFxPXchPaL8CeLgNZBhPXzN7lwOeiDCGvmBJBHPIBK+P5LSFJ4AckNbLrEfVSRiVxPIR3HXw5/TISc7e+QMNO7wBBiVfcg/Qonw2tdD6Mbc0huZCWtNIhiuB729xHLDQVwEbljdw8/fz6Ppkn4x7Y9KlWX8ZE4M/MWQwMd67pUbvPjp+eoNzwy6RhDA3GaLZennl3giU8PsmlDCsvyeH1vkWMnxUIfGYpz/125y66pPzvT5PipBsODJrW6R36xRanSZnbO4k/+YBN9vSalSpuf/mKeesODICAAbt6a5oF7+lBVhd5unaMnV4NuEAQEPtcsKWsaKiODCZZKnZJWkITwbbuubfB1x9YMh49WqVQdMukYbcdnqehw9+091y8JXRF4HgHRSEf1ICGMT4WvrycPIB7AywjwnkGAL4OQxL2JhH8al7iPJvCfIyGkGNKl/GK4t/8N+Eskr9BDp9LoNYSyIoYAbonrA2CTCG/xj5EciYGU2g4hntWvmFynf/nXh2zZ2MWjD/Rj2z75RZu2E/DoA/00mv4qAAOpmd93sEIiodKVEgBNJmJ0Z2O8va9EEAT84sU8x07W6es1GOgzWFyy+fHTc1iWt97lLyinzjZIJjTKFYd3D5YpVx1MQ2W+YPGN752jVG7z/CuLuG7A0IDJ0GCcoQGTg0dqnJmWqWVbJrswdZVSWbpyHddnLm9z0+Yu0l3rK4C247PvvTLf+sE03/nRNIePVi+72/i+u6QfYqFgUyq3mV+w6O0x2Lnt2vIAdWd1vvLECL3dBvmCTdsOePBTOW7beR2zps2Hv1c6KEr4/4tRKWoI+P73iJWeAzYjYBclh89x6XH5f0DAvhdBDBtRCt9AFICNlFImkJBVFIJaXLHG9ZRnfxD4Z0iVVQx4DPhDrp88xUcoNzyAD5DtU2lu2tyF3QuC6NcAACAASURBVPYxDRVVVTh8tErLWm09+z5YlkcqsfqRppJSi7+4JPX4K72Gnm6DhYLF6ekm27Z04t+uFzAz22Iub9GVirFxIrnKKjdCPh6haFaXQznJhIaiKrz6VpH84moPRVGkkunYyTobJ1IkkzG+/Llh3thb5OxMCz2mcOeubm67pQOIR4/XeOnNJWo1h00bUzQaHpWqQ3dWx3MDnn91kfm8zaMPXHpjWG+PwdefHOXk2SblSpvBfpMN46mPxArvy5l86bPD+H5weRVHDjJXdy8CrncDt3Dtzaf1BrlHdf8/Bl4AtgGP0GkWWylxxOIdReLbUfirQadjOECSxkuIFb+R81Hh58h9W+G5ZvhTQRTDTsQbySFKohiuGyWkx7iwt/Jxybbw51dcbiiASxBVVVaVYO64KcMzL+VJxLVlICks2Wza2IVle8ukZyDduP05g5btr1sKqmkK1WqH08dxfH7+/AJnZ1qYhorrBbz1TpEvPj68XHo6tamLfQcr1BsO3VkJHzWaLpm0Tk9W5/3jFVRFIRxZDIiCKpbb5BeFW+imzWlGh+M88ekhXC9AVVi+lyAI+Nlz83zvp3O0HZ8gCHh7XxFVVXjkvgEMXUXT5JkcPVlj944svSsqjdqOz/Rsi/ySRbXmEtMURocSbNwgQJ9Mxq65xX8xuSzw95H49mEE4KL/n0Gs62spE0jX7zxirZYQJXQO+AoS0nkPqfD5U9a3svsQ8D0bHqcioY4hBMT/CnifDvXEIELUsvLjiSOAXqPDOBo5fv3IAJrecM17wz0dRBTnA0iPwnWcZvlVlhsK4Apky8Yulkpt9h+qSKNXEDA+mmTntgz/8Mw8QSBduM2WS73h8dCn+kIqZ86zPl03YKC/k5w9fqoesn92rPda3eX5Vwp8/cujIdVDnIfv7ePI8RqlchtNU4ibKs2Ww99+9xyuG6CqkOspc++dOTRV4dTZBvklm1t3ZJmebXH0RJ27buvhzt0951UpLRRsfvZcnkbTRVEUNBXqdY9a3eUXLy4wNpJkqN9kciKFokC56iwrgErV4cdPzzGftzhxuoHrBvR260yMJRk4HOeLjw1SrrqcnW6i6wqT46lVyuO6k9NIYlNFlEAWKSF8HQG7a0lYqwG/B/wN8D0EgBfC659BksEjiEJ4G/hMeJ6PWN/18L2fI8ojqkXYg1jt74f3tBEJ1xxHFMwc8N/SKRP9NYTQvYQoAw2p+tEQj6CNxPyjKV1p4I+AhxAldiFPqYnkM2YQ5bGLGz0KH7HcUABXIKqqcO+dOXZuy1KpOiQT2jKI/doTI7y9r0Rh0SbXa/LoA92MDokvv3N7hv0Hy2TSOpqmUKk4DA7EGRvplKacON0gk179saS7YiwUbGoNl0yXzulzDY6erDM4YDK3YLN5Q4p80eK992p4vs9gfxzPC1go2PzwqVkG+uNUag693QaGodKd1Ul3xdi7r8RNm9PnxfzPTjcpLNkoilj5rhfg+gEBAfWGRzKhMTNv4XoB3Vl9VZXUS28sUq44vPd+lcKSjYpCvmDhuD6u6/OdH83QaHnouoLvS6/Fow/0s3XzdfbNryDg9BRSOZNDQjLzwAkENPNc++lUveHP7eH130CSracR634CsdajnMA7wNMIO+hZRGnUEKXgIQCuI+D+AwSwZ8J140gs/2VEWfwBYun3IH0FBaQaCMR72BjuaSedsVD7wjXfRzyOceB3OZ9uoQz8P+HvVLjv55FY/NoWm8hBvjosJDdkhdxQAB9C0l2x88BzaCDOlx5ffzj8vXf0MpAzOPh+Dcf1ueeOXrZvzayywHVdxXMDqjWXtiMlqIm4CgTEVIWjJ+o889ICmbTO9i0ZYlqdg0erLC7Z+H5Afy6OaWh4fkBMA0VTSadi9GQNurM6x0816Ok2iJsaKApLJfu8e1A1hbYTkEzIvizLQ1MVNE2l7XjUGw61usv0XJP7787hOD4z8y3SqRinzjY4earOQsFezpnYtseZ6RaeDwRNHr6vb9kLajs+L762yMRo8ooI666JzCKdoTZiLc8jQLgFAasqUtqYutACV1GaiJU+iVjdariXFKIEJhBLfxcSevlG+F4eAfSTdAC/jOQBYnSAfBMSwskg4Z1IUXwfmTEwhABwFvFGXgrPi0opu4Ct4bkHEKUTINVGu5Bn+VOkbHWlvIAopqhhrYj0K7yBJGkfDdd9ClHEhOs9werw1NUUH3nG17FDerXlhgL4CEVVFaY2pS/a8LRxIsVTzy0AEipyHZ9UUuPBe/uJxzXefKdIb4+B4wScnm6iKDAymKDecInFVAF2JJegahKrN+MqqqKgaZIXqFRd4v0aBJzXCxDtIZuOUWu4aJqK6/kEARi6gq6rnJmWpLGiKOw/VGU+b7NhLImqwNlzTZqWh6JIfkMharjyKZZserqNVSEwQ1fxAygUbcZXeEIfq/wICWdMIJZpDgHMAgKIEVBcK+6YJQRojyMAWwqvZdCxruPhPgqIUrgT+GskZ7CAAHQyPKeCKBIHURZu+PsLiNUezQ8GAfAKEtZJh9ffH16jjoR2ZsK9nUMS0BH470OUT1TR+xoC5gfC33PhOpvD1yJW00p4v3p4r+8gXD1R9dJ4eD+HEGX8J1w5ci2Ee48BU4h35Yd7fZ5Ow9wXuf4S19dAbiiAj1l8P6BYbhMEUhV0drZBb1ZnYdGmWJKOY8cXHqDBPpNq3UVTFY6eqKFpCqqqUG+4IVGcgucHaCHA+l6AoatsGE0yt2Bj2x6+H1CpOtRqDgP98XU5jXI9Bl/+/Ajf+eE0zaaL3fbxPJ++nImhq4wMxXG9gFNnmvT1mthtn1Qyhq4rLJbaywNjHFe8EN8P0HUFxwnIrsMmGgAxTaXZ8pjPWwAMD8Yvyn10zaSFAFsE7knESp1BrFkTCb1s5NokNovA/42AdQ6x2k+F7+1GKlcMJAfRg4DV58JjC6yeB2AilnsBecga8o2PQkFD4ftvIyCoIIquG8kJpJAQj44AYyHc1+bwGBtRFAriaRjha+nwnGq4zzbwv4bXispYbToK6lj4Wg15zj3hca+F9zEarjeC5D5OIeB9ufISUtIaeVEK8HXkmT8VXqcfeeZ/jvQ+rO/M/9LIDQXwMUqx1ObnLyxQqTooChiGRrHUZvPGFMVKm8H+ONW6Q6PhcuD9GuWqg+sG+L6UU0akb0EQ0Js1aLV9SuU2ekyh2fKw2j6D/QYD/XFyvSZ795c5M9OkVndIxGN4vs97hyvsXlMLP5+36E7HuHN3D/lFm3hcYyFvoShhdZ8TUKk4dHXFSCY0KrWARtNjaMBkdDjB9GwLVVXwgwDL8jEMBVVR2LQhRX/OxG57y55HteaQTmk0mi4/+cUcXtgSoWnwmQcH2DjxUcRZVkiMzvzdyErcgygEE0n8ziF19tdCXkNAdjT8fxxh/3wFCX1o4c8fIWGVlfp7EgHuQSQc5CKANh3eSwMB2QnEci8iBGg68AwCsFHTlh+eq4a/Cwgwu8izKSMAuQcB7XK4l65wvSUErNvhGj4SwplClOyB8D6nwnPzSM4ggzzfVLhOMXy9Et5be8U6lyN5BPzH6KCeBXwL+aOeoJNj6A7few346pp1gnAtB1Ggn3AE/YRv/5Mrruvz02fmqdZc6g2HtuMTN1VOnGoQEBDThCjNtgMS8ZiA/Ypa/u6sJJIty8PzAnbenGGo3+TIiTp791dIJTWmNqVotmSI+8aJJO22x207s+FwF5jP2/zFN87wZ/88tjwvYP+hCq++tYShq6S7Yvg+jI8l+MPf2cDeAxV+/twCqaTGQJ/J9Gxr+X50XZTRUH+crqRKfrFNo+kRi4nCGOyL86XHhxgciPP8KwXKFRcISKd0HvhUjqeeXSCbiS0rBrvt8cyLeX7naxMf7bxgHRmy/gpi+U8goLkHqf0vAA8jnbjXQk5yPklbPwJ6X0HAd5hO7PwoAvYGcDPwE8Sy3o5Y9i7irbQQgI/GSBbC1xXgH4VrvhQeH0eUSAwBYAXxehoIENeRbtrPIM/im0j8PhG+dwoJtfgIoPchoZb3EO+gFq41Fd7vXiS0EyneGqKECK/9MvI5dIfHPY/kLm5DgHi9fom1ciJcfyXixen0NkyuOb6LTiNeJEWkBHg2/H8S8SC2XsL1r1O5oQA+JpnP25yZblAsyaAVTVMoVRzqTY+z003ipiZDWHSFdtsnrqos5G1Ghkz0mPD/tyyPdFeMrZu7KJUdshmTndtiTIymljuVq1WXt94tcvxknbYXcOZci/6cucx/s7hk8/c/nuFf/4sp2m2fN/YW6e8ziGlSu9ed1ZnP2wSBwmcfHqBScbDbYSXQXItawyFuqHRndHw/IKYrfP3LE5w4XWffe2XqTZfJ8RSP3N/P5HgSRVEYHU6wuGSjqgr9OZNTZxv4XrAqHyGJbIfZ+RZbNn7EEzseQ4Asin13A/8DUnaZ5doOEBlELN6Vjk8bAZvb6VipAVIa+gYCqh4CZncjYK8j1TeT4THfD9eMwjj7kTh3CbHsP4OUbb6LWMVvIhZwgDyDIeCPEeDNIgpGQYD/SHjdtxAvoIp4KZPhcSfohHh+hjzPSrjPOSS81E0nnFQK1xlGvIgMHa9iAsmD/AfEK/MQb+lL4XsXkgvZEFHiu8VqRVJhdaOYj+RYqnSUbyN87b/gEztn4YYCuMoSBAHnZlscO1kHYMN4ksE+k1Qytir52Wi6zMxZ9OfM5VCOrqssLFgsFW08T7p3Pc/H9SSO7noBzZaL7UI2rTM+muD0uSbPvVzA8wNs2+PYqQY335Qmm4nheXD4eBXDUFE18JoepbqDpimMJuSv3TQ1mpbHzLxFre5g2/4y+IPsQdMU5hZaDA/G+cJjQ7zwaoG5gk1vt85S2WFoME6x3MZ1A26/pZvNkyk2T6b47COD6z4jySN0vm1BQKdjbdXD7PQbfaRiItO4HkdAK8dHNzXqPgSEqwjw2UiI5QlWl0GeRQB3I506ewfxVP4bOpUyAeIJ7EQsaSP82YxY6d9EBsUQrn8XkmT+HgLGKqKUbkKmk90bnq8jHslLCHgeC18vhXvvQ2YPeIgCsBGLejOiiBYQQJ8N/68hFrYd/rsXAXY/XEtBvKBJpMnsSHhPaTp8/v+S9TuiQbwNBVGSUYtNHVGsTwI/RBRhMtxXjNVe3ky455U026lwz4eQhrdPoNxQAFdZXn27yP6DFeKmyvRsi2//YJr+fpPtU2nuvzvHhjEx7QxDJVgxQcz3A2bmWjQtj6mNKZqWz0Lewvd9fA+qdkAyqVFYdNA1hXffq/DOgSKup2AYKsmExr5DFRwv4LU9RQpLbUaH4thtn7ipkVA0bNtHj0my1bY9dF2VBK2m8MOfzeI4AcdO1ClX22zd3LVskQdBZwpZNqPz5SdGqDdcANptnzPTTVwvYGI0cUXD3YcG4lJV6PjLvPxtx0fVlAvSWV8tsW0PFAXTWKdbKarB/yhlDOGp+QkC8nHEUr9/zXGnERBeue1IQczSUQBR5U9UrplccZyFJLwLdPoZZpB8wGY6CdFjiOWeRCpoHkUUy98ilvJZBDx7w/2XwuPaiLewGWlGK4bHeOFaPeFeXcQDUMP7nQv3pSFhrWE6rKVWuHYfHS+pB1FCe5CE+HrSgyj1b4fXA7H4fw9RKn1IaWoRSbY/yOrP3qbTLb1SNMSD+YTKDQVwFWWp1Oa9QxWGBkxOnmlQqjoMDpjUGx4ty+epZxf42hdH6cuZ9HYbDA/GKVccYjGVZsulXI1mCCQZH0kwO9/iuZcLWLZLKqmjqQquE9CyPKGlTqo4TkAyYVIstfG8gLipEQBLRZtG08XQFVotl+1TaYYGTF58bQnPd5mZV3C9gFyPzuFjVUZHEiTjMXQDFvLS5HXrjiwty0fTYHJ8dYlmRHhHig/dyZvuivHQfX28+NoiQSA2v6IoPHJf3zVjJq1UHV55c4lzs00URWHzhhT33tl7TWiw1xVJgazf3DSFJGcPI9blHGLx3kQH8JMIkK6VgNWJYQOx4M+G14r06RIC0C8hwPYlJIyzPzxOQ0D1NIIS0bpFpEzz3nAv84iVvlZ/3hS+dxwBZic8v0anuihyArMIiAaIstKQ8MuvIQppT3i/A+H1q4gSWnnNBJKcvZjsRBTJ2fDcDSue1VYuHssfCc9ps5oOw0IU3CdUbiiAqyhLRRsQ3vu5vEWmKwr7SKJW11UOHa3x0L0m2YzO3bflOHy0ik/A9KzPQM4kkYgx2CdhofHRJF1dOm0nQIsJ+FcbDoYuvP2ZlE656jA92yKZjBE3VOy2h6aq0nnbEEqI3Tuy9OUMFottentinDzTJqa59PaazMy1aDQkl6ApCgQKbcdnbt6iO62T6zX4/KeHPhCIZ+ZavHOgTK3usG0qzc5t2cuasrVtS5rRIVF6ACNDiQuykn5YaTs+P/nFHLbtM9hvEgTCsFqpOXzl8yNXNprSR0C1igC2jQB5VMMeSROxpt8Jz7kZ+DznjyJ8HrGakwjw7EEA+qvhejchQF2jQ5+wiFita2Phn0cSsGcQ0KoglvcYHd7+7yHWvoVY/jPhetFHGOUChhFgbyBAvR1RIgkEGBvh701IV++/RUB2O2LVO4hS6Q73biPK0EQUjhs+ky+G9x5VDanhnrJ0KDBWSg0Jh1WRxHgbsezXHpfkykjgkoiS/H54fzFEWd3G9UFzfYVyQwFcBWk7PkeO13hzb4kTZxr4QQD+CtIxRSEWkzBDpdYhfnvkvj5iMTh5ukE2HaMcwC3bs8sJ2lKljWV7mKZKKqHRaHp4ro8TqOiagqaJslEU+R0gyVNVhQ1jKbozOpl0DMcLeP94ndm5Fpbl09NtkIhr+H6A5waoGpybsbBsoZHQdYW+XoO7buthoC++PLrRcYNO8rbPXO5g3ru/xLd+ME294aJpCs+/tsgt2zL8Z7+/CT2mUq44lCptEnGpHloPYJdKbebmW2gxhfGRZMfDuESx2z627ZFMxj5wAtv0bIta3V1mS1UU6O8zmV+wWCjYywN1LllOA99BgOcgkjO4GRnkcj8CZgoCon+NAGFUcnkMURj/ko5lWQ7PHafzDc0hsfw7Ecs1A/w+EsOPum+HgN/m/ITnFPBnCGHcvvC6bUQZPYookCSSI/gqkjS+DengtRBQthEQPoOA+Llwv/+YTqNZCwH+ATpx/OlwXwk6ncl2uOckYpX74boGUlW0O1wzH17TQhTIF8J1ngufY1d4LYtOcv7fhvtTwnUfQsJCV2Mo393I57Y/vIebkWe70s5xESW4MtR2HcsNBfAhxXV9vvn9c+w/VMVuexRLbZZKNrqukkxqOG6AoSt0Z3QKSzY7bur0scfjGo89NEjzTpfFYpunnlvANOWvKQgCjp9oMDoUx7IlhGS3PXxfwVMDupIajgexmILjguv52DaYaYNsJobr+nR363z9S6PsOVDmuz+eoafbIJWSv8pEXOXgkRo+0oSlKAquGzA7b5HJxJjL2+w9UME0qgSBgkKAH4Dni6dj2x733NHLbTu7+eHPZrHaHv19nTm/+w9Xefn1RXRd4733Q3ZSZEbyrh1ZYppKX84g06Xz9r4Se94tCRIroClLPP7IwHK+5KLP3wvY826JA4cr0q1sqNxzR+8qeu21Umu46zKzKopMfLssKSPJURMB8jEEDM8hicFXkORlNIrxNKtLDofD147RGUgyF/5e+e2MShhXzvvdCPzXSHJSQ8DwQkB3EIlrfybcUx0B3CjLrtFp0mogHkM/AsROuOdZBNCj3MPnEGD+HaSRaqX8LgL4NTqx9AQCmqfDaz2MJLJrdMIpz9PJH5QRoA2QUNhrSInu++GzOBbe12eQvMl/RBRB9GfjIXH97axO3l6q2OFzOBnew63I5zt2gePfRry2JvKMHkGe+XU8deWqKABFUZ4A/k/kz+fPgyD4N2veN5G5QXcgjvJvBUFw+mpc++OWdw6UeOWNJQHXbgNDV5mZa6EoHp4n1Trbt6ZZKrbJdOnrkp4lkzEmkjE+/+lBnnulIJTNqkJPt86m7iTVusuhI1UBLSXA9xRimkoyrlKtCkVDKqWTiGvkekxcT2YVPHxvP11dOuMjSXZsyzDYH+fUmQYz8xbttpCzGbpKQECz6QMyKWshbzE5nmJ8RKz/luXx0muL9OcMXA8s2wMFnn25wKEjVc7NtBgfTa6a85tKaDz7coGRoTjDg7JOs+XyyhtL7NlXYnIiBShs3pji+Mk6A32daqhGw+Vv/v4cmzakiBsaO7al2TzZta7n8O57ZfYeKDPYL+e32z7PvVygKxljbGT9AvG+XgPfX11fFAQBQQDdmcs02w4iVl/UYasjIFSkQ598lE4/wXpgoNGpewdRJjYCvl10LPpauJaCxKsjS3ttmGOtNJHGq7Hw+reE+47GOQ6He18A/kvEki8hIaBWuHcXSZRGdfe3I+GWQwjI7UAUnI54ARGF9CSdJHPEH+QigBz1NCjhTxOx+k+FezPC17Lhtc8hCuNOBEnuCNeIqK5bdOgloudqIgrjchVAC6ksmkU+AwuZgvYHF1jrMJJgHg332kY8KAPJl1yn8qEVgKIoGvDvkaK5aeAtRVF+GATBoRWH/SFQCoJgi6Iovw3870hO/hMvr+0pYZgasZhQMiiKwsRYgkbT47e+MoZl+dTqLhvGk2zbkqbZdFks2mF4ZjXYeJ6AELA8MnKp5IRJZY0NYwkyZY1CsQ0qlKuuWNFpnfvuymG3febmW7Rd+L2vjS/PIjZNdXndgX6T6bkWlu2jxRQMTcH1Ffr7YsQNjUYzQNVUBvpMqjWXTDpGsSThm5l5i3RXbHkGQaXmoOsqxbLD8KCHqqrLZaOgUCq32TaVXqbMfv9YjZiuUqo49NYc0l06L7xSoKe709Xs+3D8dIPZ+Ra9PQbpVMDTLxbIL7a5/+7cquflegEHDlUY6OucbxgqXSmN/YcqF1QAwwNxJkYTnJ1phTTdAeWKw803ZS4/oV1FvuRrgT0CO59O4jWHgGJEQ7B8I0iiFsT6fhkpBXWQ+PytCBgfCK91GulqfZJLa0iLEs7RHscQ67mJgHkLia8fRQA8SgIPIaAb8QhtCe8nj+QkuhBGz/+D1RVTLmI1t5Ew1b8Pz4m6mKfC+4gqgKAzlD2qEopCT0Phvk1EkfiIoropPC8C+eMXuPeIAuNy5W3EE5tc8VoFyZX8K873tF5EPt/oszYQZfA88hldjRDUNZCr4QHcDRwPguAkgKIo30Dy9ysVwK8B/1P47+8A/5eiKEoQlXx8gsVqebQsh1K5DUBAgKooqCrctCXDQE7KDCzL4xcv5pmZb4WACLdsz/CpO3pRVYXFos3Pnl+gO6PTnU3i+wELizaO43PyTBPH8UkmdXK9JkODCfKLNpbl8eA9OXbt6OHQ0SpOO2DLxjT33dW7imJ6qD9Ob7fBUqlNb7fOjm1p3n2vgu8F9PbFCYIAwxBStsWijesGvPj6Er4XkMnEGBlM4Hk+lu3T19v5Ntm2z8ycRctyeevdCom4RldKoysVQ1Fg43hqucy1Zck85XK1TavlsVCIMV+wqdYcXNdn86Qoq3KlTaXqkErFSJiyVjIhYaRbtmdWKU3X8XEcn1hsNfqahkq17nAhUVWFxx8e5P3jNY4cr6FpKrfv6mHqShrONiFf/gkETJt0KksMBFyjpOMQEt/ei1iqKgJmm+mUOX4HqZv/PAKyBQTsDYR+IlIUDjIV7CbOTyCvlQwCRlEZZgKJjb9AJ/l6LxIa6qNDNrcYXqcc/t9FQFAP1zEREP8FkucASRD/JZ0h9BFp3j7Eq9mA0FjMAv8ufA0kJBVZ/VEMnxXXhZA0ClEOkTiItzIZ3mdEL30q/KmF97ZepdLF5CDnlwBnEW+jyvnDd5Y4n6U0jny+LtdtPuBqKICICTySaSRSt+4xQRC4iqJUEH25yCdchodM3ni3RFdCwzQ1gkConGMxhcyKKpbX9xaZy3fGNPp+wL6DZbozQunw9AsLLBbby8lPVVUY6jeZL9js3pml3fbJ9RicnWmhAOOjCeYXLN47UsMwY/zGk2PomoJpqufFtzVN4YlPD/HS64ucm20SBAGbNqRoOx4z89IZPDmR4OiJOjFN6CaWimLdV6sOMQ1aVkBfr75cplmrSfVRd1bDNFSCQMGyPdywQ3n7VIZPPzzAW3tLpJIxggBKVQenHZDNGMtA3mi4FCvt5R6AWsPF8wISCXW5CkhVFRk8U3FWKQDTVOnOGtQb7qqkcbXmsuMDJo7pusot27Pcsj38JlsIKCW4cDPRerIFiTEfQoD+bQQEpxBQ+601630VURZvIJbuE8i3JWqEisJFUYy8gXgDFh3wB7Gu5xDu/y/wwY1qX0FCGmfpKKYnkTp4k05sv4UAbSHcn0ZnwMxh5JushtdrII1jbyLKSUOG1/gI0AeIcjy9Yo+l8N7/BAnnvBW+Noqg0f7wvCYCoOcQBdcO779Ahypjho6lfgz57HrCe6kiimAbYoXbiBl6qdKFfB4rI7Ye8rms5yROhc9n5SyDEuJtXafgD9dhElhRlD9Gms6ZmLhYb/fHI0ulNsdO1qjVXXK9Jrkek+6Mjuf5NJoyAczzfXLdBn/1rbN85QsjdGf05WHwkaiqQlcqxrd/NM1gf5yFgkW17rH3QJmbp9L05SShqioyvvHkmQb1hruc6Dx7rknL8smkdV57awnH8fmNL41dkFM/oowoFG0OH6lw7GSTgT6DyfEk+UWbN95ZwvMCRgYTFEsOyaRG2wkIUKjVPLJZnXTaoFJzKVUc5gsWCgHFsrTrDvab6LpKve6we0eWRCLG1o1dFAr28iD6esMlYar098lzCALpW8hmYhTLDp4fUFhq02y53LI9h+8LKZwcy3J1VCSKonD/PTl+8vQ8tu0Tj6s0Gh7xuMbObZcxhfxNpPHKQ8BnK8Lxcins1BrCpXMQCdHsQuLaIwiorY1CRR2m64VuLARcR4vpHgAAIABJREFUI/2tIEDUgwB3JKcQi7ocHnMQScTexIVlBKEsOIgoujQCZH+L3Pdu5L4PImBpI0DuIM8hoktYQhSeFZ4zgIC0i1i7RTox8jIdqokoD5AI9/8DOkPko7XjdJg6ozi6jSjSMmLlbwnXPoQojzbyGUQlsefCe3ucjrfjI5/xA3Rorz9I7kESwNlw7QBROHewPvfQI4jnFJWq1sNn99uXeL2PSa6GAphhNTP6WPjaesdMK4oSQx7R0nqLBUHwn4D/BHDnnXdeNyGituPz7Et5fvZ8nlbLQ9OgN4xdbxhL4nk+x041SCU1RodTBIEQmv3k6Xl+7fPDq+bzRlKuOJTKDrfu7CYIApqnGqQSGsdONejtMXFcD9NQGew3eezBAf7i787QslyKZQ/L9tkwkaQrGUNBodn0eO7lPLlek/yixUB/nLGhONW6KA0/CHhzb5FMWrh94nGVWtMjm9EZ6BM+nlrDw4i1qTddert1Ukl1+V4f+lQfuV6TIAj44c9myXTFcNwAhQDPRwbYJ4W0Tjc0YjEZXP+5RweZW7DIL8pPuepgWT62LTMG+vtMNm1Ict+dffzgqVlMQ6HedPmHZ+YZHDDoz8Xp6TbYOJFaVqCeFzAz32J+wSKZivH5zwxy6kyTUqXN1s1ptk+lL72B7BQS1x2lUxVzHAGof3SJfxw6Eqe/9QOOsxCAPYcA5y2stjD7wrVW0hWAfEsHEIvbR8A/gQDfbgTA/w4Z43gxYrQUAkx7kaTpNB0P5u+RkswosVsLz4kGy0cUzT5CVzGIeA6LdMJfEaV0JFF4JyJ5i+QcAq7diMUckbL1IOGwbYjic8LzziDK6avIM1YQvqIygix94bOIaCGq4XOMnkWkVBe5dAUwhcx8/tmKve9AQnPrST/i1bwe7ncSeU5rp5tdZ3I1FMBbwJSiKBuRj+O3EXtkpfwQSQe9BvwG8OwnLf7/5p4ib75TRCGgK6WxULDJL7ZJd2m02z4PfSpHvSGA6jg+dttneCjO0pLD3LzF8GCcpaIMRIlkZq61XHM+0Gcyn7eoNzxcN2BuQSiVH3togFhMZXIixVe/OMLPn19ger7FyGACLaawuGSTX2pjtV3efKfIA/fk6M4avPxGgXMzFpsnkzRbQvtsGCrpdIxCUXIBmgbzBRvX80l3xWi2ZJCLqihUah79vRLS2jieIr8kfQJxU2VyPEWux+DE6Qa1hsPsvIUeVhMFKBw/WWdqUxddKWmEGx1OMDqcwHUD3thbRNcVPA9SKY16w2XbVIbnXy2Q6zUoVx0GckKDvVhsEwRSQP9Pvj4Rlqr6PP1CnjPhTGHPAz2m8IXHhq6IhoK3EWCMPhYFUQYHWd1k9WGlhnDMLyLAZCH17H9Ep3LFQMIU30TA1aRDSnY/nfxABfnm3k0n31BAvIS1XkAFie0fRoBxhk54amO4nzyiBE7Tob/2EACOEKIbAeoqEqbZQqe2/0vhMcPh/xvIM03RCR9FQGiH52folLZGFUDNcH9RgDgT/h5A+hXuW3FfI3TmDqx0DKMKqkVWVwT5XP5neR/SD7HE6kE3F5IcnVzIJ0Q+tAIIY/p/iuhKDfiLIAgOKoryPwNvB0HwQyT6+FeKohxHnMTr3DFaLW3H5/3jNRm2riks5G0MQ6Zt6bqK78G7B6vLpYWapnDz1jQxTUXThPjtgbtz/OjncywULDRNhqP050y6wvm/sZjKrpuzLBQsTp1rsWlDittu6V4Fatun0rx/vMbsvIXn+czl21RrDoN9Js2mj2V7TM+1CHyYnbeIafD2u2V0XaVcdUAJqDU0HMcjX/DQDQ3HFX6guCkDZzxfFECr5bJYlJm/ng8zcxYjtyZxPZ+5BYsgEF6g6bkWekyl3fZRFYWRwRiuJ6GptZ3At+7splJzOHG6ga4rWFbA7pt7yKZ1LNunK6bJ7OIeg94eg1LZ5qapNCoKC4uiPE+cbnBmurmqWavecHn+1QK/+eWxdev7LypRPfxKicIQ7ctb6qLyCqvDIz6SK/gHxDSKZDdi0e5BlMZnEcvcQEjefoAkb3fwwbHlOuJLR4R2EcmcH74fMZ2eQJRMBYnP70IU4DQS2mkiyiGij1YQK3cCsXqjMlQdyXn8NZ0u4qiTOR6uczT8vQ1Bn6j0cwkJA2nhHhfCc6ImtVEkhBNF9qbohOwiccLjo14Gn07oZgtXNtwlwYXr/n8J5KrkAIIg+ClS9brytf9xxb8tJKr6iZRoCItpasznLVQFNFUqeVzHpy9nMNhnSiftgPD8RODnuAGDAxLG+M0vj3F6ukm16jDYHyduqnz/qVnstkcQwMxsi9PTTXI9JuOjyeVpW6VyG9NQ6ek2ePKzw6DAMy/mabZcJsZSpFMah47UyKR1Dh+tcfxUg0q1LcNVFEgnpb4fQNOEXK7tBDieSzopncL1usuum3OMjSQ4eqLGuZkWg30GE6NJCkUpwUwmYgRBwNBAnPyizS3bMsznTRzHo9ZwGR1KMNBv0tdjrDvNS9dVHntokDt3OzSaLpm0DKc/fqoOQUDb8VFWxBBUTYUANF2hFnZQnzhdP69LuCsVY6FgU6u755XWfqDsQEJAKzn4a+H/P8jiuxzZj4QJfCTEdAxRMG8gwLaST2aUzkCYlRJHmp6iRGkkEf3C2vr0vQioR6m0GKIITiNg7dKZAewjuYEoHANiTUcWvBIe34tY40k6dfkr9zoF/GskHm4hBeB5JAbfRmLr74ZrHQv3XqITy78DUX5NOvOXH6KTUH4yvM4GJM7/HxCAj7yNm8N1NoX7U8M1r1Y38C+ZXHdJ4OtREnFV5vC6Pkdsf/n1dtsT7p5+k2zG4PbJFEdP1Gi2PLS21P9PjCYYDamP43HtvA7Vu2/t4Zs/mOb4mQaeGzAxkmDDeIIXXi1w4FCFRsvD9wKCIGB4KMFnHujnN58cQ9MUnnkhj0JAreGSSqlUqs7ygBjbDnCcABRwHTFlfR9UVBTVxzQC2mG5naIo5HpjnDhTxzBUtmzsYmpTmt/92jgLBZunnlsgmZA/FUVR2D6Vpt5wmS9YGIZCPK6zfWuGbEbH9XyOn2qQSbd58fVFdt+cJbumuao7q9PVFcNxfIIgYKBfEt6moUqZfNiURQCZtE615jLQJxa/rmt4/mrTPAgkEa19AAXEuhKVZZ5C4s5R3PqfcnU7OBMIyJ1EwLEbAdEC0kn8L1kdsriQ9CFhou8gAGsi4PePWZ03ALmnlcVQo3S4+fPhXkBAPaJimELCYpHVXURAWkFi7veFaywh1vZLSKx85bPKsroOcBIJVxGe9yNEiUX8QdHH5oZ766JDP6EhiuJOJMkeKQAFqWzaCPxFuO4Akpv4evh6RF9xHVfhfNxyQwFcgiiKwgP35PjJL+YY6jc5cbqBZXvoMZWJ0QQjg3E8Hx66t4+pjV0cPlbDcXzu2N3DlsnUBYGp0XTZf7hKrlen0TLJdOlYbZ98oc3woMlzrxR48FM50l0So8gXbJ5/tcAXHhvmwbv7mF+wyKR1TEPl4PtV3s6X0DThHYq4gQgQoAdUlXDAu8zmVVSVzzzYx3uHqxSKDnbb5dx0kzPnmvz+b41jmhrJhMbadI1pSmJ6eCCO5/m89naJ0+ea2I5HYdGmJ2uwY1uGYydqnDzT4KtfGFm2zH0/4N2DFfYdLOM4/nIT21239fDKW0t0JVXmFiSnMD6SoFZzGRlK0NOjc+J0nWRSFF06FVt+rsWSw9hI4sqYQ02ku/MwYpl30wnDXKlEgLmyiuh+pETyKAK4CgKuO5Bv4Rt0wO1i4tFpiLIQkHuQ9RkpB1g9YWwTkvw9hMTkTTqW9xGk9u4ZxNqOwDOJKJiB8PUj4VpxJEQUzfFdWQZyMckhyiFaJ7p+b7h+NbwvC1FAUefwy4gnsFIUJCn875CQUzQCM6pW6uG6pmG4HuSGArhEGRqI8/Unxzh8rMYzL+dpNASYTEOj0fL53CMDohDGkkyMXUr9oIQz7LZHTNNIJmKYpoZhqCws2nheQCym4oZNMJ4X4Pker+8tMjQQZ/tUmo3jKWbmW3QlNfSYGuYcFBpNOUlRWK4+iixq3w/o6zUJCOjJmpQqLsmkzoakDgFsm0qj6ypnzrW45/aAXK/B6FCCubxFrkfHbvvsP1ShWvPoSsV4/3gdRYVsl8aZ2TaDfSamIZTUfTmTwlKbg0eq3HunlF+8+15Fpo7lJEzWaDr81bfO0NNt4Lo+pqlx2y3dpJLSALZlYwrDUPnW96fxwhxLpepgtTy6uw2CAAb6DB6+70MgtoGA/u4rXwIQ0PkBHct6GwLqEYPlcQToI2K4cSRp20Ri3pciryJW92YEOD0kvzCM1OSvlDuRsosSAuJvhteJqp1GEeWRRjyCfuQZ7Av35CHA/DiSYH4dAfDIiW0i4aVfIFw860mFDnHcZPj78XBfFqLIFhFFk0dq+qMmskXEep9DFMMmzu+ijqQv3M+3kQojBfF+fp1O6egNOU9uKIDLkExa557be7ljVzdnppucm2mRSmps2di1qrrnUqVYdgQsA5n2BeJtKAq0Wi6KEmCakmA9cFjCQVbL5/lXCrz4+iKjQwkURRK0uqGS7tKYGE1y8mwDu22j+AL8mgquFyoDVegg6g2XbDpGreaEFr7C7h1ZMmFSeqFghbX1Go89NMBPn5njhVeXKFVtbCtg984MqWQMPaaSSgqz6FB/nExap9F0KSwK3UVXSmNuQYLKruvz7ntlBvqM5e7dWt1jZs4iQJhQLdtjqdTmwXtybBhP0Wi6/O13z9Gd0THCoS093TpLS20evb+PbMagP2dcfvL3aksbCUVYCLBH5aR/iSRKNQSM9tHhC4pIyyISOYcPDle8iCRdoxRLRNnwEucrgH7gnyMdwy8hlvouxIPIIQqrQIdTyEJCSUNI2cYAArpOuN8BxDNwwvvrQRTP/4eEZ7Yj4D4ZXv8VJDMYgXYKSXhvQTyfaAhMLHxWT9PxCKLkc5S4HUNyF0e4MJ3zd8P3I86jeri3P6Mz8OaGrJIbCuAKJBZT2TzZtTxI/XLE92VWQK3uSvWb5dLfa2IaLRoNl0RCJfBldkAqIVbwiTMNmi2PZFxDjynUGh7zeYtypc3keArfh0cf6COmKZw4XadlCRGd7wv4x+MxfC9AUQJyvSZbJrvo6dbpz5m8saeIYQRs3ZymKxWj3nApl9vYbWH/BJgvWLyxpyRVToFCukslX2jjh/XRcVOjXJG4vOetDhe1LI+BPqlVtNs+bujZRHJ2pkk6E5N8RbhWNq2z90CZDeMpZuctfD9YBn8IKa81BVVVltf+2OU4HUoCEMAbQWLrZxAg1ZH4/d8jFm8ZAeZaePxxREnsYH0JkPDG2lp2AwknrSdRpc4cQongIkAbIKB+GkmcOohHsIgA9dfCfS+Fr/86knfYg1jqRnjsq+HeTaRyaD+Sz+hCmutG6Si1ChIG+6/C5/BdBIHU8FncDHwaYdQ8hngHKcTbaSAg/hrrK4AiEsaLuqgJ91BBks6PrzjWRvIjEU3FZfQM/rLJDQXwEYptezz13ALzCxYo4LkBMwst8GHLZBd79pc4csIim4mx86aM0DIvWJw918BxhRvINFTabYux4Tj1hkd3Vsd1A97cW+af/vYEf/7Xp5lfaEkuQAswDA1FgUxGI5XQuef2Hr725Bh9vWI177o5yw+emkNTFY6drMtYypbHyGCc7/xomscfHuBv/v4szZZLX87EcX0qVRdwhEwupmJZQoI3MmQyPWvh+9LgVW+4tJ2AXSHdgqqAYShYlnTr+n4gpHSKsjzEHiAeD8tWl2Ud6mbguuokqXLheHN9xb/vppM8/RkCcJ8Of7eQztw/YzXtQyQKAn6n1ryfR5rKIuK2Ic4HtRhiWccRC/wYAtpWuN4OJKb/FJ0yWJDmqzsQ0CwilUKjiNJ6PTzmFkQp1REF8L8g3oDNao8miyiVGSQ8NUaHTTXaWyw89wAduolquNfNa57lSmmyuos6EpPVTKvnEK+gFf5fQfoYLoVU75dQbiiAj1Deea/MfN5iaEUNewDohsqxk3XihsbjD/fR32dSKnsYuspnHxngzNkG5arNUL9JvenSbAWcmREOH2B5tm/bCRgcMPnSEyMcOlzh1Lkmtu1L/sCFXTsy/N5vbliVLB0ZSvC5Rwb46TPzHD9VJ5PW2TEheYxa3eX7P52lXHFJp3UUReYa1Bselh2QaHts25LmwOEKpiEeS0+PjoJCq+XR12uGQ29Ufvz0HLPz4rUslRy2bkqR7oqhouC4PiNDnWdSq7nLlVNCJS29GEY0L7jto6rXfl7wRcVFErqHEfDO0alLj0AoqkNfW90zhngKSQR4o5RRgg4fzuOsL59FGDjPhec1EJA9iUwZi679KKJYov9H+YCJ8Jo5xJrfhlTNDCOsnSst9jaS09iKKAkdScTupzMUJWLpjAC1FD4bD1EoWVZ3w0bdxISvR+8doUP6thHxBmbDPUyE+ywgOYv1pB9RIitHNoIoqqnw3y7igcTpfCYO0qY6yXXftXst5IYC+Ajl/WN1cr2rcwVDAyZnZ1pMTiQZGojjuj6KojA0EGNmweKu23oZHIxTa0nStd320VRwHGEdjWLfQRBIqbYrvDwP3z/ALSWbubxFy/IY7IvzJ/9s87qc+psmu9iyqYtS1aFWczg706LR8pkcT7JYapOIqzRaHnFTktW5XoOZuSbNpoLn+dx3V44dN2UwdJX+nEl3Vl8ehNN2Ar79w2kc12egT+L1sbMN5vM2qZTGQ/f1cfpsg1bYhVxvSNnr7bukdKUrFeOR+/p4/pVFfOQeVVXhkfv6P7r5vWvFRagXDiLWvIMATxoByj4E+JcQi38lsJxGLNDF8NhFpKb9VsSCNejQMKwnA0iI5V06uYP9iBcQ9QHYSDPWYaSJbDeiEM7RGQsJ0rX6TxBF8mb42kqL3aDDtx8lj0fCPc+E+41m/RYRYE8gsf2d4TnvIIqoEO4xYhI9Rof+eRPiZfyIDqndA4g3MoYogEXWT3RHYob38106nd2l8JlEIbWoamllv4SOoOBaIrdfEbmhAD5CUaLqjzXSbsvg9QOHK5QrDooiIJ5IxChXJVG8YTTBfMEGRcFuC3WDrgvP/uJSm5GhBEMDcZIJDcsWsO7tMentMVkqttm6af2BKpGcOFVnbt6ir1f4jcrlNvuqbbKZGIm4jucHVGsO8bhGIq6SSsa489Zutm/NcOuOLNnMasVmGnKts9N1Gs3V4xc3T3Yxn7d49P4BBvvjFJZs9h2ssFi02TSRYtfN2VW8/Fs3pxkeTDCft2g0hS20aXksLtn05T6GHEA0iWrTitcsBKSeRABZQ5q2VlYWecA3EIDqR8A4jiiFUSSsU+ODZ9Zm6JREVpBEa9Ts5SCW/gziHeQRNsw/QGgnTtMhaNtIJ2ylse7fJoTHDCJKLmoYmwjXj9hDVzJ43op4GBNI0vo9BGgjxfCHrOYPGkV4l46GP7Hw9U8jVAx2uNcdrB54v1buQp5rNGXsoXAv0Z/SWq6ileJf4PVfcrmhAD5C2T6V5p33KgwNdP6KF4ttpjaneO7lRZIJ4dP3fZjP2yiKTTYdI5uJ0dOtMz6axLI8btqS4vipBkEAC4U2k2NJHry3D1VVuOf2Xp5+IU8m7RM3Nap1FxTYuT2L6wUcPFzh4JEqjhswtalrmYiuZfmYhgxzURSFVCpGftFisD/O1MYUp841sSyPYrlNsdimt8dA01SOHKtx9ESdzzw4sDyAZqXUG966ikcmhEkWuT9n8thDF++CSnfFWCwqvPVuablqyQ8C7rilh7tuu5otu5cgRziffjmOgMg4UvO/niwgMewIrHcjTVc2YoE2kNDH1svYS0RRHD3iMwjA5xBFMxb+/y+QRG4OsbbXfiRbEDRo0SFRizj6IwqIaFi8g1j8zfCcWnhsADxGZ/zlLJ0OYivc64nwPgfo8BadQ+r8fx9RULPhevnwvZvDYy9F10+yeojLShkL14i4iqDDeXQxJtVfYrmhAD5C2b2zm/yiHY6MlCTm8FCCDWMJXnp9kXK1zXzex3MDAgV6sjqxmMKdu3v4xYsFent0eroN9IbKlo0Kn76/n7E1A9SnNnURj6u8c6BCpdpmcjzJbTu76c7qPPtygSPHa+R6pKTy4PtVZuZa3HdXjkw6RkxLcW6uRVSobugqUxtTfPbRId47XOHF1xdpOwGeH7BhXKgqNE3Bbns890qB0eEEprE6E9qXM86rDAqCAN8P6MmeXzrr+9IFvLZ5zm77PPtygWwmhmloy8fu2V9iw3jyo60GSiGgsVYCLg5Sa63sccSa34+EN36XDkfOpUoPEnIqIxZ2RItQR4CzjXgrJxCgNsNr/NaavWYRhq5vsnpK1++FvytIEvb9cC0nXCcaHBMBasT1M0tnzm8PnXxF1Gx3ho53NIwowicRr6qIVBClwz3+HAkl/TGXRtF9ITHCe/wbOpNIIqX1S8z3czG5oQCuQFwvYHq2Sb5gk07HmBxPrct9s1ZMQ+ULjw2xULCXh5gM9pvs2Veit9ukUmng+1ImmUxoOE7A9GyL224RLt639xVZKNj0dhs8+Xgf46PrfxvGR5KMj6x+r1SROQbDg+Zy3mCg32RuwaJUEbKXDeNJBvvj1Jsy0MayfSYnutBjCgsFm7ipMTIYx/cCzk63aNRl8IppaJQ9h/yidd51RwYTjA0nmJ6T8Yu+H1CputyyPbOq8qfZ8nj73SJHT0iZx9SmLu66rZdkOAOgsGjjeT6msXqmgqYpTM82P1oFsAsJq6y0lucQy/dijkxEVbBIp9M4stL/BVc2uFxB+HX/XwRUmwiAbkZCK4foDFHZiIDg+4jF/Zk1a90M/HdIzF8J9xPF9/8jcr8KAtjNFec1EaXxRUQBHEKI7u5Enk/00US8+hadpDF0xjYqdGbpRsyiIIrgNNJD8WHn604hZajR4PlJ1q+4+hWRGwrgMsVu+zz17HxIVyCUC2+9U+JLjw9f0jxZVVVWMVkC5HoN5vMWYyOJ5Rr5IAjIL9mcnREFsHVzF1s3d0kd/RVw3tTqbthktvpcXZeKnV03Z3jnQIXebp3eHl0qf1IxNk+mWCjYnJ0RBs7p2RYxTWili2WHas0Vrp+AdUM9mqbw2UcHef9YlaMn6miayl239rBlxfhFzwt46tl5iqX28jM8eqLOYrHNVz4/ImGplaWJK+VKOYA+jAwiMevvIWDuI+D/21yccEwJz/tLBKyjY7/AlYF/JGPIMPdDSCjjZaQ0U0USzdH+oj/PISROvlYBgAD22nDIC0iYahxJpA6Ga+rhvm0ErIcRxVNEEroRoV4UcvHC1yLenkhm6FT3lBDvYm2BVxJRuiaSiP4wCds0klu4ITcUwOXK+8eqzC1Yq0C8XHF4+Y1FvvzEyEXOvLD098WJx4VSIhmX4S2tls/4cBLL9lYdeyXgD9CVjIUka8EqJeC6AZl0DN+XkMo7B8qkw47nu2/vIRHXODvdMfdyPQanzjaXO5ct20NrKCQSQie9nhi6yq6bu9l1c/e6788XLAqL9qry2IF+mY8wtyCKcbDPJJHQVo1/bDs+fsAlU29cVdmJxOqjpqhLIXIDiaP/K8TKthEwu9JGJAdRJC6iBO4OfzYjPQY+ErrZhCiESNYOaGkgFnsCAfG1f2KH6XTSZul4FEUE2PXwnKiOfwDxNpboTNRaWrHPGBL6OhOuuRmpUoLO9LGVM3zLyOyEPjq5hvsQj+MGw+eHkhsK4DLl2Mn6qtAFQDYTYz5vLzc4Xa6kEhq7t2coFB3KFQc9prBhSwpVg+GBq1Pr3ttjMDme4tTZBn05A01VKJYcMl06cws2h4/V6OnW6evtplRxqDfcZQbQlX0DiYTG1s1dHDsp1T2Vmkvc1Hji00PnDWe/VGk03At8kWU6GAhtxkDO5I13SsvJck1TefT+vnVzCR+JGFxZ7DjG6gqiK5FZxJOISkbV/7+98w6u67rv/Oc89E6iEGAHRYqySFESKZASJUsWVazimI7jEtmZ2E7iKPFsEiebZOMZb3Z3MpOJkt1JJt1WFNckthM7kiVbim1KliVbjVRjFUWKIkgCJAg2EEQvZ//4nqPz8PBQHzrOZwYD4L777j3vkvj9fudXUVfOzSgIvRHtTq5AbpnkR3SSkEX0M5RuCSGI/XEGdhEtRW4b33L6CBLKOe5Yi7tv8j1Wol3Hj5GCWY7cLQUoMycfVRHnIMHurf4SYBOqUViO/l8866652a2lH+1yriDk+EfGRVQAYyQ3J4uu7oERQJeUQmKc1nkiYbjp+kp+9JPTVFflkp+XRasb5bhh3cTVqd/27ipe25vD3jcu0ttnWVMrt9L3fnhyQGxgcb769zQ0drByeSGLq/OpLM+j+UwXFeXK5e/rLyI7YbhrWzVLavLHLfyBoXv4u66lu/e38NzOs+Rkq/jr/AXNU7hrW807MYJ5RS/wdST0veuoG3gECd1qZEmvQJk/X0U+9ATBHXQzcg89hgSt/ydoRK0qkpu73UIooCpCfvifIuveV9JeRNZ5Fsp2qkVpp59C7qb9yHK/DimkvUiAZyFhfxT4DFIi73fr8emcHSgl1CslP5R+N1EBZEhUAGNk3RUl/PDpJgoLst7xeZ85283lq4rfqVQdD6tri8nLzeLVvRe40NLNimWFbNqwYEKt25ycBJs3llN3rdImjTEcO9GOSTA4NpBtaD7bycrlhWRlGe65vYaXXj3HIRekvXJNCVs2LhxzMVZHZx89vf0UF2a/8/yqq/JYvqSAYw0dlC/IAaMWz8uXFFBclMVjPzhHVWUu2Vl6vhXluTQ1d9HW3js/FUADErjJcYNcJEz3MzCoWQz8BrLazyFrexVB8HoXjmcxyvLxWUUg99F21EPIp51+FrltctyxXag1RA+KLWxF0iUbDUy/1V3rFKq8XUnY9flGb4dQrn+uu997URrolxnczG0mtQH3Ov4GAAAgAElEQVSZxUQFMEb8qMY9+y+CUbB2aU0BW+vKM772siUFLFsy3FTviSFZ2Kvf/+BzevssJcU5A8679cYq3n290lfGGovo6u7nuZfOcuhtKZDioizec2OV62hquPM91ex94yIH3rwIwJZN5Vz1rlIaTna4+wXlmkgYEglobOp8px3GvMIL4VR8zn0q2aSvLehgcPdRf93UVkw3oayeFuSmSf5vmoV6/CcPgRmK86Tv2ZOD4inJjfDyUXxgEVJe/k+sD7mVMm3fHYkKYKwkEoatdRWsf1cpF1p6KMzPoqJ8BrQjHifJ/f7VIE5B7aLCbGqXDw6ujjcI/czzzRypb2NRZR6JhGYWPL7jFB9+/1IWlmk2wMYNC9i4YWCgOCc7kV7YWUNuzux85hmzFFnJ7YS8+D7kBhpLQdMGVCOQbLtcRK6d1I6joAyc0Qa7h2IhoUdS8j9fzxDXTqDsqq8wsI3FraQfghMZE1EBjJPS4hxKi4fwXc8ijDHcccsiXnpVOfj91rJscSE3bq4gL29i3Cutl3o5Ut9GdVWIMxQVZtPR0c+hty6xZdPQu6eaRXkUFmRxsbXnnVhBR2cfWdmwYog6iDlPHirk+leUkeMbrL2H0U/mAmUyrUNZPgVICCeQ/3+yJmnVICt/L3I3ZSG3UDVD+/Nr0JzhI4RJYRPZ378NpZi+QtjN3MzAoPYcJSqACPn5WdyytYqtdRX0WwZV82ZKZ1cfJpG+BqH1UjqfRSA7O8E9t9fwo6ebaDrdBUbru/u2mvGNgJwrXIGE4pvI8r8MpZSOhWw0AOYwEq6lhEEtyTQhRVOEAsiZ2gUfQULdxww2o3jCcAI3l9AjqQdlBr2IFN91yEU1noS5XrS7OOXW1IcmnDWiyuw5vsmcx39BkVRyMghiD0dZaQ5ZCUNPT/+Ae7R39LF0FDGPioW5fPQDyzh7vpv+fg21Ga8rak6xgDBsfbxkIWWSznXUjwK2LxFmBNSgnj2lac4fLbkoUJyuEG00/AfKAKpx63oKBa5/jbErp7dQUL3W/Z6DguQHULrs+Ep7Zg1xZHJk0snNSbC1rpzms91ccDUGp1wAd9WKwQ3k0pFIGKoq8qiuyo/Cf6rYTZghsAJl7pxDSmG6aERxi1Uo/pHv1vW2+xorzaRXGgmGnrI2h4g7gMiUsG5tKWWlOew/2EpHRy9Xrytj7WXFE+5uikwgO6G3Ct6ogDcWQFEPXJsPi99gYAB6KjnHwO6nnmyURTTWAfCVDKyK9vSjgPUcJyMFYIwpR/0Da1Em70ettefTnNeHhrwBHLPWbs/kvpHZydKagncmfUVmPr398G/rYP9iKOmB7gQ8WwP3tcDV09U/31cCp9LHwGym0bIaBaOPu+9+3sFa5rz7BzJ3AX0OeNJaeznwpPs9HR3W2mvd17wR/l1dfe/0zIlEZhtvboX9BXBZK1S1wdKTUHMIHtkE3anzECaJfuSKb8QZ6stQwPsYYfRkI8oiGk9aaA7KetqMgt3nUYrpx5jzAWDI3AX0AUKN31dRMtUfZXjNWc/pM1387KUznD7TTXaWYf27Srju6oWTFmSNRCaDN9ZB8R7UProR6IX8bOhZCE1PwvLkmcPJzduQO/4pwtTK2whzcEbLKTRAzWe6lgL3JWDFx1GmzsvuvtegquHxZmUXo8rjeWOaBjJVANXW2pPuZ5/Nm458Y8wupLMfsNY+kuF9ZywXW3t47IeN5OYkqFmUR29fP6/ta6Gzq59bb5zI5OX5TVt7L8ca2unrtdS4XkWRiaUkG3quQdZ2DaoALoH+UsjzYygtGthyEuXm3wmH1msAWRlyozcCX0TzXEbb9boHZWeS9J6LqCvEHxRC0XbUg8jPEoiMixEVgDFmB+m7b38++RdrrTXGDOXvWGmtbTDGXAY8ZYzZY619a4j73Y/+r7BixVhthunnzSOXsP2hwVl2VoLqyjzePNzK5msXzu/c9QniWEM7P3y6ib4+3GQ1y6YNC9i8MfN2HJHA1cDTHdCRBQWuwKyxEGovwSKDWk43IN/7StS47Wvwo89C+ZLQ5boSWfBPotHEo+FtBs9vL0Ux4MO4LhBxQ50xI0oja+0dQ71mjGkyxiy21p40xixGcfh012hw348YY55GzWrTKgBr7YPAgwB1dXWzzoF+vqWbvLyB/zMTCQMJDV6JCiAzenr6efLZ05QUZb/TelujIS+wYpkmmkUmhmrg453wcB6cdj7/2lb4xSNIou9B/ngv6UvkkTlxHGpTAqgLUJx1tHQPcdwwcJhYJDMylUaPorKQB9z376aeYIxZCLRba7uMMZWoZu8vMrzvjGVxdQFHjrYNaHHc29tPAg02j2TG6bNd9PRY8heEfX8iYcjONhxr6IgKYIJZXw5rD8DpBOSWQlUnkvKtqKArpSAsUQKLmqG1H0qS7KCLKMlmtCx133sJQsrPiZl9foGZS6abqAeAO40xh9Bo5QcAjDF1xpiH3DlXAruMMa+j8RAPWGv3Z3jfGcualUWUlebQdLqLzq4+Wi/1cvpMF5s3Lpyw3jrzmYQx6SdDWsiKLoGJx0DOR2BpK1S9gRqyHQPejQa7tKSc3wJ3XoTmhMYDgIT/eRQIHi0LgTvRruEUStA5igaBzYPszCnD2HS9gGcIdXV1dteuXdO9jDHT3t7LvoMXeau+jcKCbDZcWTrqitfI8PT2Wb75n8cxCd4ZDdnT28+Zs918ZPsyKkYxl3m66Efy8zxyidQytW7slEQdQPVcp1FB7bBjdruQ07aTMJO3Hjlri6GjHFq7oawJ8j4Jey/X+IAzyJV0F2NrVOo5ivrG9aE2RauZF9mZGWGMedlaWzeqc6MCiMw2Tp/p4oknT6nJHAYM3LSlgvVXZNKgZnLpQM07vfsc1LjzE0x+Qe0JNPXxbZTIsw2lvb8EPI5mvzShbsy/jrpEj1bI9tXDjgPw0wJdPKsW7iyXpW6Q4I773qllLAogOqUjs45FlXl8/BeWc/J0J319lkWVeTM+uP4sEv61SceOIZ/o+ybxvqeRkV6AfOedwH8iy/o19/ubSBDsRUU8v4QyLFObgqbjZyvhxyt17WwUvH0UxYWvYmKFfydqA9SAMk43oBT+yPiZ2X81kcgQ5OQkZtU8gJ0M9l0vdscnUwE8j9w+fr5LAdp5fAcl8BxE/vYs5CJ6E/hbtDvYAvwCQ+9Q+oFnUMDWC5JclPb5LFIAE8VF4CHkUipEO6ofo3zxygm8z3wjhs0ikTnMSQZ3bs5FLv0L7vcsFAs45l7zEx8PkiatL4k+JIhToy4FSdcejl40g+WfUYHXbtK3+QEplPNoB7UI1Qf0IddWZPxEBRCJTAGbkTBO5qQ7PpmsYHCiThfajSQ3wTyDimrz3ffjKHbwffc9HTmEDtHJNKPUv+GwwLeBfwfOIlfVvzJ0p+ndDG4zUIXa9qdr5hkZHVEBRCJTwC2ohf1RlDxTj3rkbJvk+95AmLp4CQnaE2jY1RZCFlALsr59wdY5d6we+EeGbo3/PqRQGtz5x9HEyltGWNdxJNRXuXsudD+/5NaaSgGDi8N63b1iVtD4iTGASGQKyEdtEKY6DbQcCfu/RM3Z8tCu4zI0+nYt6uKYhSzxC8iqr0SCvRIJ3keAX2Zwv7WlwG8Bu5DgrkOfa5e73mWopURqE/AmBrf1T7jfX0NWfQ9K/SxEguonqAVEFdpBNKChYtGKHT9RAUQiU0QCWbmrMrzOOSTM9yF//c1oLG6qIOwGDgFfQwL+FwmC/kvA76I58jejnck3gO+h0b8tSACXoI4PO5HAfT+q/0qmElWB+h3Gl5EgL3DvfQH4tLuupwjeKejrRjuCZqQgTyDFkQAedtddh5TP4yiIvRrY5NYfGT9RAUQiM5gLSOCXIkHbCnwBCc1FyEr/tjtnMxKseUjIf5mQ7lmI6gAWodRJg7o8e8VxGfD7SMi3oTTO8+46xWjHUoamP5UzsB3DS6ghaCey/FchSz3hzq13x5OF9Wp3zRPIj9/qPks9EkprkfJpRq6eItR3vg1lKn0MpYFGMiMqgEhkBtIPPAE8hwRpHxKqlchv7wWw/wP+M+Tv9/73t1GGziIkPM8iJbECCfRW5K65Dgn6Pcjq3+p+Xoy6bpa617cgN1YhEub+/vtQSulSJLCtu3cZUiqgFNR9DFQAecgl9meoXXSZ+1rt1vc6cv+ALP8GpMxOuM/1NAo0RwGWGfH5RSIzkJdR6mMtUgAWCUUfqPWcRBZ+HrK2i1DmTjNq19OOBHuHe18HCj63I6H8NtopWJTOeQlZ3PUo9z6BLO0lyMd/xJ1zC1JGPyGM1X2LkHa6B+0EDNoZpJuEUYkEfgVBKf0MuY7OuXXgvu93x0vdZ9jhXvs0g+MLkdETFUAkMgN5Dlnv3q9vkJW9E/nxy5HQ3o0Eok+FzHHnveKOFSEBeZ4QcD2D/OgWpV6WEmoFqpFSuNe9t8y9thNZ6m3uOn+MgsXPI+XgWz0XIyVwCgnxEqRItg7xOUuRmyvfrb3InW+Q0shy613gvs65e61AMYsTaCcxnj5DkRhAj0RmJB0Mts6ykNWciwTsbvd1HPnPn0WWfwkSrL7uoBYpBYN6uG1E7p9uZHWnFootQNb8J9DuYQ9yB0Fw9byJBrwUo4rc4+46K5FFn0BK7AzwQWBNyj060U5iK1IAh935/ShDqBAFlK921+xyn+0t5FqqQamjOcC/ETqPRsZG3AFEIjOQa5BAXJ507DTKwHkv8C9oINdC9EdciwT6LhQMvgUpjH3uvR3uvflIabyAsn96CF1Cu5Fr6BISslcAvw38DdqNrEY7j6fRTuGCO+9lpEjOIFfUIuAetOv4Iwa6aDpRbOMVd18/I+A5QkXxYtQ6eru7z6sok8lbq5Vo92KRsjmDXFNXD/M8x0KfW3sBAzOX5iJRAUQiM5CbUSuGo0gQdSFr+24kANciRVCC+vFcdOedRRb0h9GOwA9UuRZl2/Qj63oFcue0ImGXg1w/ve5ay5BQ3o3cLmeQYuhxry906yxDwdh6t8Y1SCnkuPW0od1KBdohfAf585chBfU2ciN9wF0vFymRY2jHko16Cq0g7EJ60M6kFgnoZoZuITFW9qNq5DakYDaiYre5OmYoKoBIZAZSDPwmEtonkCW8nmCRZiEBVYzSI48Seu/fjfL5q3Gzc5EPPwfl6+e5Y99z1zdIEaxAO4464J/QbqAcuXe6kWCvJLS0vhwJ9auQkL8OeBcS0G+71/4UCZlct5a9SHD7eESC4PZZ6471ImVyCsUXClCb6keRgM5z91zt1pVg9MPmh6MRxUQq3efuRzsVixTqXCQqgEhkmuhD6Y39SNClNlXLRxboxjTv3YAs/x5k0S9DVvMB4HNIiF5DqA3Icucad/53kJBegIRACXLpbHNruuDOyyNU4ja6NRYiZfPzSeusQFlKu91aKlCGkFc2lUiRNCEhnoUUSpG79iX3PA4iS/+8OycfFYEtQDGJd6EGdT0o+8mi9tV+R5IJO93n80o2gRTia2igTckE3GOmERVAJDINNCI/vm/UloeqbNczWBGkYxnq2f8EEuSvoKBvGbLmu1Fw9ggKwpYhodnjXj+ChGYnYScBiiEkkODtd6/nI2FciATwHe68JiS4TyALfBWy3E+j3cWVSddtRoLfF7UtdD+vctf2hWlvoJ3KEhRL+Be0E/J1B1vcuh5yn6UcVUVXIUWRCT4bKRnfnqKDqAAikXlPP7JQ96A/nmsYOORlNJwH/hoJm5XI1bETjVC8CVnhtzPyH+dNSLD/XyScF7trHicIrEbUMvkW91q7+wy9SOBVuuPN7rWzyOXSi5RMsTuvHwn3KmSNbwA+i4T91xjo1mlBPnTvl7dod3IKKboepKzOuWvf6+71DWR9V6LnWoQU0AsEBdCGlN5VhDkFHaiW4R63Xl9bMFbWEuYjeDrc8ykfx/VmA1EBRCKjxCI/9AtI0PS7n+9mdD1pLHLb/Dtyl5QQWi6UumtalGXTjwTaSBxDAjmf0OM/n9BMzVfmHkeCtgb54S8hYXzJfZ0hVBh3JB2vcOvz7SFeR0rrg+61BmQlX0CCP8ddpzDpc7URmr9VuM/thX+fu/f17msFA61w72464J7LHrTjeDdBAZxCAevzhJbRH0SxjJGwbm19SKnsRAHtBUj5dKC2E3NVUM7VzxWJTDgngBcZ2MWzF/XBuYaRRygeRM3MypFgLEdpmtnIsm5z5y1HmTHbGOyS6EfC0/fZAQndXvf+NmTB+77+Xci6LnPfjyAX0x0oj78eCb9epIBWuHMbCS2bs5BgXeXOzSe0ey52n8uv3SD3U4G7zzmCSyoLWdfWfY4Sd2w5EuAXUJ1BMufRzuarSHksdM/sGRT8zkJKqQgptxWE7qVrGP7f5AzadZxy6y5C2UgXkCtqAYqhLB/qAnOAqAAikVHiG5UlV09mI+HRyMgK4HkkwHxefB8S3q0Ea73CXdMS3A+eE8BX3L3ykI/9amTRdxAs91aCO6bc3bPCre9tZEUXu2OnkDDOQkqsHwnhfMIu4SbkVvHzfeuR5e93C63uNf/5T7nPtR4pluNIuOYTFJVBymkpUi7lyP20z623Gu0oCpF7qsb9nEvYfR1GitOnunq3T657ft6ST0cfcl11EDKILqHd2e+hofbzgagAIpFRUsDgfPM25AdvQoVTww1Bb0fCqQAJ7teRIGxDwm89EljehZJcodsC/IG7l1/HcdSJswwJvBxCha1v4VCGqmd9q4R8pEjWu3vi1tCD3Em+A6cvsMpFFvEJpAwqCf19QDuEre7zH0eCdZW798+5Y1sJrifcdf0u4V639reQ1b0etbCuB+5DDe7+geDuKUBZUS8hBdDnnt8tDCzasgzf5uC4+/zJ6aPFaMfyBnJHzQeiAohERskVSCBeRILyAEoRzEZuoNdQquJQAcgNqHq3GKVAViChmIWs+ZVI+Lai1MZkZfIdJKB9gzWLBNghlI5ZhKx739TtHFIIPUj4nkaWsnXvP4oEZ647rxsJ+UpkgfuisQuoBfQK95Xj1u4H3Ge5Y34AfD0K8DYh6/52d/x9SJA/TbDK3+eu1YSUYSUS7gl3jRa0EygkZCPh1tGH/g1uRG61mqRn1e7WNNzchS7STxLLIriz5gMZ9QIyxnzEGLPPGNNvjBky5mKMudsYc9AYc9gY87lM7hmJTBfFwKeQYHwdxQMWoSDwKmR5f3uY929GgvMoQdBfhoaib0cW9iqU9pja6/5lQh//diSYc5AyuujW8xYSmq1IaN6OhH4TstS/616/nBCU7SMI0xx33dNIEJYmnXMKCcaL7vdCQtxgJ+rH4/347W7NDyf9XA78T7eGx9GUMl8pvMddawPBFVaDLPxLKF7h5xT0oT5Eb7pzaoFfcfetR4rrdaQkTjN0hbDvjdSTdKyfUPA2X8h0B7AX+AXgi0OdYIzJAv4euBMZGTuNMY9aa/dneO9IZMpZiQanPIQEpLfIQdZqPbLM0+0CfEXrfqQEypEraAHaAdw5zH0LkPA7goS4D6R2IaGXhfzhZwm++58hgXYJ/aG3ueMfQkI3D+0U+pEvHEJPoCJCkVkvQRHc467XgPLvdyCBe4Kw+ygguJj2MXDwfZH7uhf4D1S/0IsCvbvdPYvQjiLhXtvs1r8D+Km7/wZ3zy+6a/2hW8/3kFI+jqqZ61BGUKqlW+ze96h7Dr4YbQsTU1U8W8hIAVhrDwAYM+xY5i3AYWvtEXfuN1GwPSqAyKwki9BxM/V/vmH4vjS5qC9P6ljFkbgV+b3rkaD1aZ5LkBBfiDJmipAAN0hZLEFxgJWEIPFlyHLe587zribvHjJJ53Yh4elTVivc8X3AY4QB7rmEtg5LkAvndWS9p/IzwujJ9Sij53XUSqLE3fNp1A+p3K3navfzOQZnYf0XKlB71X338YJ+tDu5Gu16UtmKMqN2u2e2HmUOzach81MRA1hKaBcOUtxDxliMMfcD9wOsWLFiqNMikWnlaiQ4KggCwxdWJVv/veg/fB8hu2Y83Ar8FSG46VMqfZ6+7+xZ4F7/FqHFQwdyD1kksNtRbvsfEzJqOpELyO8AOtx3z3m03b/BnfvPyHoHuYVASqCbECNpYvAQ+TYksJe51/oIVcY+k8p3J610x55AO6Ymd/3apOt5AbYbKY7qpNcS7roHSK8AQCmecznNcyRGVADGmB0MjLF4Pm+t/e5EL8ha+yDwIEBdXZ0d4fRIZFq4Elmsr6A/on4kfD9OsE4bgK8T0jKzgY8yvpYFfi7vGnedfGSR9yFXSycD5/QWIUvcdwn1rR0a3bqWoJ1AJ7KqC5HrpBcpiFNIMPumczlICTzj1l9CELA+m8hP8PJtpSvdGpNpct9zkt7Th4T6AuTGykPKrRW5cXKRkO4gpNKmPsNCwpD5ZHzdQjKp1dwb3LPwMYA85s8uYEQFYK1Nt4sbCw0MVLLL3LFIZNaShTpEbiHkua8lpCL2oJx9CD7lDuCbKM98PM3LKpBQXJR0zAeSy5GV7N0w1xKqZrPdejqRoG1EvvECpMh8ALUAxRcqkFLAfR7fAM7XGpSg3cxz7pwCt45sJEB7CW6of0K59ZuBTQxOpfVtoy+iOIAfHNPovlukSEDP8SByP61x62p2n70OuXuaCeMnu93nTg2of8+t3VdeP+c+TyshTrLFPcPFzG2mwgW0E7jcGLMKCf77kKEUicxqDBJKqUHDblRk9ASKEywg+LD7kRC7YRz324YUSHL+fjZqQ/E7yM3j3VAL0bxcn1XThQT7e5F1vhoJ5ZcIU8aa3ftq3LUWu/X7ofSX0M7gGffaJvf+QqQ4LhFqEQqQID7qfq9Hu6Wb0U6l0V0jgRTY80jwdhA6gfp2DJ58VJS2gzAboAplFOUgofJ1dy8f2/gwA4V4g7tXLWGndgFVBL8PxS7qUbrudejf6SOMrkHfbCQjBWCM+SDwt+jf4fvGmNestXcZY5YAD1lr77XW9hpjfgs90yzgS9bafcNcNhKZ1TyGrJ5iJPTbUeDzNganHibTi4SSF0zHkSCuQpb6HSj98Rz6Q/Izfz/kzl+OdiFt7p6fQmmp2UiQr3D3TyDh+qfAF9zaVqEg6FXIGm5EgrHErfc0EsZLkRA94+79fkJB1hpkRfvB9QdRXn8eEqorUHD31909D7m1VAMPENJjNyFB/5o7P9mNVIIqlovRrqENtYm4z13/s2593UjwFzKQ4ynPuM+tvwQVgJ1F7rFL7hnudb9vY25irJ25bva6ujq7a9eu6V5GJDIqLiKB8WUkDJ9FgiobCdPVSGj+Nwb2vDmFcuPfQlbuDSjv/3EkTC1SAH/uzn8BtWM+SfBX97trN7ljPjh9kYGKqAMVmVWjfv1vuvPrUFaM983vQeMgjyBl4336q5CQbHHHqtHuxiK3yXPunj49tQQJ2U60U+pH9QC3u2fSQ5ghnEoLyh/vRgrlNFI8ENxe/rm3o/TckUY47ka7qFr3eycKSvch5dPnPkspUrzb3LVnU/GSMeZla+1oeuHFSuBIZCLYg/LaLyDBdxJZjicIrROOAp9hoPC/gIScRcGxPmSV70WWru9rcxD4M+D/oQCot9pPIks5B8UGTrr31BIKrdYhi3YFUi7FwN+5e1UipfA4Uj5b3Lo2oHkC+9y6v44EcDYS5G0EgflelIIJUgg++8dX2/qhM9XueTyPFMBIvZPKUFHcN1BRWZY7doaBWT2lSCm96D7rIoaucF3jPmeLu5Z/vmfQv8VC997TDEy3natkVAkciURkgf4HEqZXIMFWgNwoNyLrvQb4VVQ17OlC/tMfI//4DuTeOUlwB4GE6DJk+Z9HXTxLkXXtffVFSBFUI4ve7yb8APXfQL7s5UhQ+hqCXCQIl6B2Fj6Tx9/3KuSSOYxaURxGBTy+cd1aZI1719Zyd70Ogv/edyTtcs+mlVB4NhIJpFB+Drm6rnT3fh4JZ9Dz34XiLn8H/CUD886TKUSVw8Z9nuNImRhk8Xe6dRa4r/3u889V4g4gEsmQo0hw+nTDdYS89BZ3vA4FQE8gIVQOfB+5eiqRVd6JhHM7Enw9hD9Qrww6kI97EXKN+Dz6PPf+hPu51Z3vrd1k6hmcnumHwrQyMEOpH9UUrCHMFfbTu9Yg5bMaVdV+362l1q2hz12vxF3HIDdTO6NPszxIaD0BQbm2I2VZjnZDPYTRkS0oA+v3GRwDACmp/07oj9Ti7nEe7XiykHLrRAry1lGudTYSFUAkkiG+gtazBgn0F93xW5Fg/mskCPuR++YQsj59RoQf6lJC6MTpOYus6GpC9W+Ze49XBL6KtpPQz+YsCj4nU+PW5hXGabeWVmTx301QED7g+x7kRjrm3lOEhOs2JHR9y+iD7jOvRTugbxLiEaXu2AaCsuxHcYZ6t/4rGTh60Q999xS5c55HsRPfiXUTwaXkh+wcRvGJdHS5Z/Ay2kEcQ/9ONxNGXbai3cJIcYXZTFQAkUiGrEJCKrlj5QIklP4QCamHkAD3Pue9aDdwCxKAFwhVuQXIlXTU/dzj3vd7yDq9HeXXgwT2T5ElewNSJjnIMq5Hwje17N6gAHUOUiS+gnYjcnk0oEB1HsEllI0UwxHkNmlHwj95alkNAytGq5Bgfck9nxZkfd/rXu9FCmKf+3y+rcOvumfln20voTrYH+t2z67R/Zya6+/bWQzFt5CCWIoUaiPK3trunoVFu5urhrrAHCEqgEgkQ0pRvvm3CUVOCXesFDUcKyVY9AZZ/q8h4XUzssAbkbD/MBLyL6KA8hKUo+4rfS9DOf4/Qlbqe5DiyUWWeDYS6pejYqZkC/YIytS5CwVu/ZCbAtRHJ+GOHUTW82JCbn8+sr6vcOe8z13Tu6FSyUKtqm9C7qViJNi9IN/rvpIb6l1wz/GzhNjHzUhh5RHmGf8yClifQ4FxP9QGwi7LK5FUTqLnnVy/sQ0p0sOEmcS3M/7WHbOFqAAikQngGiTI3na/+2e2ra0AAA0XSURBVKEoEPruJ9OHXBU7kWBf5X4/R7CyQW6JbQzO1ljtvsbKy8jFUoWUQzuhyZoPfuYQWjbkI4X0TUJxVRfa3byBAq+9qIbgLgYOTz+LrP+TyPLfnPI59qCdUrL7bAHaNZwj9FS6B/n3DyKBtZ6w0yhHgnoHckkZ5L65icHjJT3JE9M8WUhh3oTqLWIriEgkMiZKkSJI5SoUIPUKoRkVOPnUz0NIEK9DwnUlEkh+3nApA1sqZ0I74Y/ej6b0xWE+q8YPkUle/+8iV43fWfwU7SCWurUeRErrtwkZUA+6z1iM3Fkvomwk36rBN4NLxrqv5B2FQYHl2iE+0+1oV7QbPbOrGV45+syoZLcSaDfm5wTMF2IaaCQyyWxCguUosqx3ICFzG1IYdyOr3FfLeuGXjQTxsxO4lg0oQApSLMuRsM5xX8eRgL4i5X2VyNX0XkKHzZWEDqJLkI//gDv/B+61pYSB9P0o5dVThwKwyamnp5AwH6lGIJVVqMf8h5CC8oKtHcU19hIyo8pRvORtQhHZUfQshuoaOleJO4BIZJIpQD77fcgKXoqUQrF7PUHIOU+dRpWHdgwTxQZkKR9096xEFv8ipBi2ILfTcL1vWtyaUy3lXJQx5LttpjZzr0BuI88a5DZ6yv1ukSL5EBPDm6iIrNtdOxtNr7oWxS+WomyiLjSM5wYGt6+e60QFEIlMAXlI6Ptq2OKU1y0SmM0M7GnfjAKvE0EL2mVsRDuPU2gX4IfRp3IW7Vb2Iqv/3aiwrYL0LpQuQoO3EkJTOE8ng+sPbkNN1065eyxlYtwS7Uj4lxFqATpRgLmWkKW1yX0OP2VtukhOhy1DAfnU/yOTQVQAkcgUshi5IM4TCq56kPD8JZSKeBz98V9CAjQ1j3887AIeIQi5XNQ9cyiXxyWUatqJrPIeFMc4j1Il69BuphoJkSb32bzr6D3ufn6QfDdKh/1YmnuVMVgxZEq9u2dyIVg++vxvIaUDEroPE9xi16Kq46nM/ulFymo/IR02H9UgDJXJNFFEBRCJTCEJJOi/goQUyJXyc0j41KK2EI3oj38TIXg8Xs4iIbeY4NppQ0Lnf5Be2O0h9A+CUOH7EnIRbUfxiWfQDqEPCZOfoLTN65EV/gwhRfP9pA+STwbDWfM+VbcZNe4rQ5+zH6Xm9pBeUU0We5B7MNn9dx74DmrzPZlB6agAIpEppga1KfBWqg+UglwTE2HxJ/Om+57s1y9C/vp6Bgd8QQqoIOWY9/tfQErpehT0bSH03H/aXfNXUXbOTUiRlCA32ERzEcUz/LCbZW6NPpieXJznR1x6Qfuq+0xewSbc+/eizzjWQPR4eZ3BA4IWonTY8wxMrZ1oogKIRKaBHML0q6kgnRVpGNpSXkKY+evxBVZeMPrmcLVJ56xEbpWjSNDmM3nulMPAvyCXiXHfb0S7qWI0fvNbhJbaBu1cfH3BG8gddAopYd9FNIF2L1OlAHzfpGR8OuxkC+ioACKROc4aJAR7CFkuHYTWzum4GrlvGpCfvwcVdN1MsJjPM7RiOZ/m+ETSg4R7GaHSuR81hluPlM9VKLXzCKH/kremn0JFcccIbTNq3Xt9M7ip4jrkelpISAE+heIzmbr/RiIqgEhkjlOFLN/HCBZ/NvJzp7p5PEXA/UhQ7nG/b2dgX6Ey0u8gLJNvPZ9EVnpV0jE/pD45nbYMZT0l41tqb0JuoQuE2oYEmqQ2Ge6qobgc1Vc8lXRsCfDBKbh3VACRyAzBIt+775uzivQ9dsbDDahD51F3zcsY2HUzHQtRTv5Qefm1yNd+DMUADKHtQ22G6x2JoZ5LHyPn8p903wtQjOKYO2ZRgHtL+rdNGgbFS+qY+HTYkYgKIBKZAfSirI/XCb75GuCTTFyKZDkTG1BMAJ9A1b070ZqvR72LJkpxDcViVMTmZwKA3EI9DO7g6ecsvOLWtYSQCZSLXGRrkBtoOiuBJyMddiSiAohEZgCvuq/kzpgnUe79x6drUaOgEFXV+hbPU9VHJ4Gey1cJ6bQJ5KZKbgLXhwLFR1CQtxcpgya0y/IuJD+4Z+1kL3yGERVAJDID2Iks2mQBWo382cmpjDOV6WigVo0me/l02mUMdmu9hYR/bdKx1Win4Ftfg9xdn2RuD39JR1QAkcgMIHWqWPLxyNBkM3znz5MMFnIJZP1vRzuAfoYfJD+XmY+fORKZcVyHgr/JAr8J9YSZ6db/TKacgd1GPRalWC5CsZb5KgjjDiASmQFchwqb9icdq0JFTZHxsxYpgVNI2PtMq1VMfp+d2UBGCsAY8xHg/6CGhVustbuGOO8oasfdB/Raa+syuW8kMtfIQT2CjqOmaSUoVXO62hOfQHnp9cjXfhtTW7k8UeShthRPEPL8N6E21PNp8MtQZLoD2ItabH9xFOdus9aeyfB+kcicxfewSe2jP9WcAL6AMnwqUOHUQyhIOlGtqaeScqRcu5ECiG6PQEbPwlp7AMCYqEsjkbnCjwnDYiC0KPgBs1MBeIYbcjNfmarYhwV+aIx52Rhz/3AnGmPuN8bsMsbsam6eyFlIkcjspxNN9PopocfNRHOcwa0cSlGQumcS7heZPkbcARhjdjBwRrTn89ba747yPu+21jYYYxYBPzLGvGGtfSbdidbaB9E8aerq6mIWXCTiaAa+hFogJ1B2y5XAfUysdVuD4hDJVcNtaCcQ3SdzixH/Pa21d2R6E2ttg/t+2hjzMGq3kVYBRCKR9DyCLPDkDp4HUAXx9WnfMT5uQxZYFmpNcIkwzSs6e+cWk+4CMsYUGWNK/M+o8d3eyb5vJDKXuIQauVWlHK9ACmAiqUXjCAtRFpBFbRemappXZOrINA30g8Dfov+X3zfGvGatvcsYswR4yFp7L8oie9gFirOBf7PW/leG645E5hV+GldqxbAftzjRXO6++ibp+pGZQaZZQA+jcaOpxxtx/aGstUeIxkMkkhGFyN9/CHWzBAn/syinfbKIwn9uM18roCORWcf70Va7HvWwP4b62W+YzkVFZjUxqB+JzBJKgc8gwd+GWhukxgQikbEQFUAkMotIMPnTtiLzh+gCikQikXlKVACRSCQyT4kKIBKJROYpUQFEIpHIPCUqgEgkEpmnRAUQiUQi85SoACKRSGSeYqyduR2XjTHNqPBxNFQCceLY8MRnNDLxGQ1PfD4jM93PaKW1dlQ1gjNaAYwFY8yuOGt4eOIzGpn4jIYnPp+RmU3PKLqAIpFIZJ4SFUAkEonMU+aSAnhwuhcwC4jPaGTiMxqe+HxGZtY8ozkTA4hEIpHI2JhLO4BIJBKJjIFZqwCMMeXGmB8ZYw657wuHOK/PGPOa+3p0qtc5HRhj7jbGHDTGHDbGfC7N63nGmG+51180xtRO/Sqnj1E8n08ZY5qT/t98ejrWOV0YY75kjDltjEk7u9uIv3HPb7cxZtNUr3G6GcUzutUY05L0f+h/TfUaR8OsVQDA54AnrbWXA0+639PRYa291n1tn7rlTQ/GmCzg74F7gHXAx4wx61JO+zXgvLV2DfBXwJ9P7Sqnj1E+H4BvJf2/eWhKFzn9fAW4e5jX7yGMDb4f+McpWNNM4ysM/4wAnk36P/QnU7CmMTObFcAHgK+6n78K/Pw0rmUmsQU4bK09Yq3tBr6JnlUyyc/u28DtxhjD/GA0z2deY619Bjg3zCkfAL5mxQvAAmPM4qlZ3cxgFM9oVjCbFUC1tfak+/kUUD3EefnGmF3GmBeMMfNBSSwFjif9fsIdS3uOtbYXaAEqpmR1089ong/Ah5x749vGmOVTs7RZw2if4XxnqzHmdWPME8aY9dO9mHTM6JGQxpgdQE2alz6f/Iu11hpjhkpnWmmtbTDGXAY8ZYzZY619a6LXGplTPAZ8w1rbZYz5DbRbum2a1xSZXbyCZM8lY8y9wCPIZTajmNEKwFp7x1CvGWOajDGLrbUn3fbz9BDXaHDfjxhjngY2AnNZATQAyRbrMncs3TknjDHZQBlwdmqWN+2M+HystcnP4iHgL6ZgXbOJ0fwfm9dYay8m/fy4MeYfjDGV1toZ1UdpNruAHgU+6X7+JPDd1BOMMQuNMXnu50rgJmD/lK1wetgJXG6MWWWMyQXuQ88qmeRn92HgKTt/CkJGfD4p/uztwIEpXN9s4FHgEy4b6AagJckdGwGMMTU+rmaM2YJk7Ywzsmb0DmAEHgD+3Rjza6hj6EcBjDF1wG9aaz8NXAl80RjTj/4BHrDWzmkFYK3tNcb8FvADIAv4krV2nzHmT4Bd1tpHgX8Gvm6MOYwCWfdN34qnllE+n98xxmwHetHz+dS0LXgaMMZ8A7gVqDTGnAD+N5ADYK39AvA4cC9wGGgHfmV6Vjp9jOIZfRj4jDGmF+gA7puJRlasBI5EIpF5ymx2AUUikUgkA6ICiEQikXlKVACRSCQyT4kKIBKJROYpUQFEIpHIPCUqgEgkEpmnRAUQiUQi85SoACKRSGSe8v8Bpxbammz8IHgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f008c69ba10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Xs, ys = make_blobs(300, centers=[[0, 0], [0, 1]], cluster_std=0.2)\n",
    "Xt, yt = make_blobs(300, centers=[[1, -1], [1, 0]], cluster_std=0.2)\n",
    "\n",
    "plt.scatter(Xs[:,0], Xs[:,1], c=ys, cmap='coolwarm', alpha=0.4)\n",
    "plt.scatter(Xt[:,0], Xt[:,1], c=yt, cmap='cool', alpha=0.4)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "batch_size = 16\n",
    "\n",
    "def build_model(shallow_domain_classifier=True):\n",
    "    X = tf.placeholder(tf.float32, [None, 2], name='X') # Input data\n",
    "    Y_ind = tf.placeholder(tf.int32, [None], name='Y_ind')  # Class index\n",
    "    D_ind = tf.placeholder(tf.int32, [None], name='D_ind')  # Domain index\n",
    "    train = tf.placeholder(tf.bool, [], name='train')       # Switch for routing data to class predictor\n",
    "    l = tf.placeholder(tf.float32, [], name='l')        # Gradient reversal scaler\n",
    "\n",
    "    Y = tf.one_hot(Y_ind, 2)\n",
    "    D = tf.one_hot(D_ind, 2)\n",
    "\n",
    "    # Feature extractor - single layer\n",
    "    W0 = weight_variable([2, 15])\n",
    "    b0 = bias_variable([15])\n",
    "    F = tf.nn.relu(tf.matmul(X, W0) + b0, name='feature')\n",
    "\n",
    "    # Label predictor - single layer\n",
    "    f = tf.cond(train, lambda: tf.slice(F, [0, 0], [batch_size // 2, -1]), lambda: F)\n",
    "    y = tf.cond(train, lambda: tf.slice(Y, [0, 0], [batch_size // 2, -1]), lambda: Y)\n",
    "\n",
    "    W1 = weight_variable([15, 2])\n",
    "    b1 = bias_variable([2])\n",
    "    p_logit = tf.matmul(f, W1) + b1\n",
    "    p = tf.nn.softmax(p_logit)\n",
    "    p_loss = tf.nn.softmax_cross_entropy_with_logits(logits=p_logit, labels=y)\n",
    "\n",
    "    # Domain predictor - shallow\n",
    "    f_ = flip_gradient(F, l)\n",
    "\n",
    "    if shallow_domain_classifier:\n",
    "        W2 = weight_variable([15, 2])\n",
    "        b2 = bias_variable([2])\n",
    "        d_logit = tf.matmul(f_, W2) + b2\n",
    "        d = tf.nn.softmax(d_logit)\n",
    "        d_loss = tf.nn.softmax_cross_entropy_with_logits(logits=d_logit, labels=D)\n",
    "\n",
    "    else:\n",
    "        W2 = weight_variable([15, 8])\n",
    "        b2 = bias_variable([8])\n",
    "        h2 = tf.nn.relu(tf.matmul(f_, W2) + b2)\n",
    "\n",
    "        W3 = weight_variable([8, 2])\n",
    "        b3 = bias_variable([2])\n",
    "        d_logit = tf.matmul(h2, W3) + b3\n",
    "        d = tf.nn.softmax(d_logit)\n",
    "        d_loss = tf.nn.softmax_cross_entropy_with_logits(logits=d_logit, labels=D)\n",
    "\n",
    "\n",
    "    # Optimization\n",
    "    pred_loss = tf.reduce_sum(p_loss, name='pred_loss')\n",
    "    domain_loss = tf.reduce_sum(d_loss, name='domain_loss')\n",
    "    total_loss = tf.add(pred_loss, domain_loss, name='total_loss')\n",
    "\n",
    "    pred_train_op = tf.train.AdamOptimizer().minimize(pred_loss, name='pred_train_op')\n",
    "    domain_train_op = tf.train.AdamOptimizer().minimize(domain_loss, name='domain_train_op')\n",
    "    dann_train_op = tf.train.AdamOptimizer().minimize(total_loss, name='dann_train_op')\n",
    "\n",
    "    # Evaluation\n",
    "    p_acc = tf.reduce_mean(tf.cast(tf.equal(tf.argmax(y, 1), tf.argmax(p, 1)), tf.float32), name='p_acc')\n",
    "    d_acc = tf.reduce_mean(tf.cast(tf.equal(tf.argmax(D, 1), tf.argmax(d, 1)), tf.float32), name='d_acc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "build_model()\n",
    "sess = tf.InteractiveSession()\n",
    "\n",
    "def train_and_evaluate(sess, train_op_name, train_loss_name, grad_scale=None, num_batches=10000, verbose=True):\n",
    "    # Create batch builders\n",
    "    S_batches = batch_generator([Xs, ys], batch_size // 2)\n",
    "    T_batches = batch_generator([Xt, yt], batch_size // 2)\n",
    "    \n",
    "    # Get output tensors and train op\n",
    "    d_acc = sess.graph.get_tensor_by_name('d_acc:0')\n",
    "    p_acc = sess.graph.get_tensor_by_name('p_acc:0')\n",
    "    train_loss = sess.graph.get_tensor_by_name(train_loss_name + ':0')\n",
    "    train_op = sess.graph.get_operation_by_name(train_op_name)\n",
    "    \n",
    "    sess.run(tf.global_variables_initializer())\n",
    "    for i in range(num_batches):\n",
    "\n",
    "        # If no grad_scale, use a schedule\n",
    "        if grad_scale is None:\n",
    "            p = float(i) / num_batches\n",
    "            lp = 2. / (1. + np.exp(-10. * p)) - 1\n",
    "        else:\n",
    "            lp = grad_scale\n",
    "\n",
    "        X0, y0 = next(S_batches)\n",
    "        X1, y1 = next(T_batches)\n",
    "        Xb = np.vstack([X0, X1])\n",
    "        yb = np.hstack([y0, y1])\n",
    "        D_labels = np.hstack([np.zeros(batch_size // 2, dtype=np.int32),\n",
    "                              np.ones(batch_size // 2, dtype=np.int32)])\n",
    "\n",
    "        _, loss, da, pa = sess.run([train_op, train_loss, d_acc, p_acc],\n",
    "                                   feed_dict={'X:0': Xb, 'Y_ind:0': yb, 'D_ind:0': D_labels,\n",
    "                                              'train:0': True, 'l:0': lp})\n",
    "\n",
    "        if verbose and i % 200 == 0:\n",
    "            print('loss: {}, domain accuracy: {}, class accuracy: {}'.format(loss, da, pa))\n",
    "\n",
    "            \n",
    "    # Get final accuracies on whole dataset\n",
    "    das, pas = sess.run([d_acc, p_acc], feed_dict={'X:0': Xs, 'Y_ind:0': ys, \n",
    "                            'D_ind:0': np.zeros(Xs.shape[0], dtype=np.int32), 'train:0': False, 'l:0': 1.0})\n",
    "    dat, pat = sess.run([d_acc, p_acc], feed_dict={'X:0': Xt, 'Y_ind:0': yt,\n",
    "                            'D_ind:0': np.ones(Xt.shape[0], dtype=np.int32), 'train:0': False, 'l:0': 1.0})\n",
    "\n",
    "    print('Source domain: ', das)\n",
    "    print('Source class: ', pas)\n",
    "    print('Target domain: ', dat)\n",
    "    print('Target class: ', pat)\n",
    "\n",
    "\n",
    "def extract_and_plot_pca_feats(sess, feat_tensor_name='feature'):\n",
    "    F = sess.graph.get_tensor_by_name(feat_tensor_name + ':0')\n",
    "    emb_s = sess.run(F, feed_dict={'X:0': Xs})\n",
    "    emb_t = sess.run(F, feed_dict={'X:0': Xt})\n",
    "    emb_all = np.vstack([emb_s, emb_t])\n",
    "\n",
    "    pca = PCA(n_components=2)\n",
    "    pca_emb = pca.fit_transform(emb_all)\n",
    "\n",
    "    num = pca_emb.shape[0] // 2\n",
    "    plt.scatter(pca_emb[:num,0], pca_emb[:num,1], c=ys, cmap='coolwarm', alpha=0.4)\n",
    "    plt.scatter(pca_emb[num:,0], pca_emb[num:,1], c=yt, cmap='cool', alpha=0.4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Domain classification\n",
    "\n",
    "Setting `grad_scale=-1.0` effectively turns off the gradient reversal. Training just the domain classifier creates representation that collapses classes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Source domain:  1.0\n",
      "Source class:  0.5\n",
      "Target domain:  1.0\n",
      "Target class:  0.5\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f008c69b790>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_and_evaluate(sess, 'domain_train_op', 'domain_loss', grad_scale=-1.0, verbose=False)\n",
    "extract_and_plot_pca_feats(sess)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Label classification\n",
    "\n",
    "Training label prediction in the source domain results in poor adapatation to the target. (1) The representation separates the classes in the source domain, but fails to separate the classes of the target domain. (2) The representation shows significant separation of classes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Source domain:  0.48666668\n",
      "Source class:  1.0\n",
      "Target domain:  1.0\n",
      "Target class:  0.5\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f008c6bc4d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_and_evaluate(sess, 'pred_train_op', 'pred_loss', verbose=False)\n",
    "extract_and_plot_pca_feats(sess)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Domain adaptation\n",
    "\n",
    "Training with domain adversarial loss results in much better transfer to the target. The domains can usually still be distinguished in repeated experiments."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Source domain:  0.23333333\n",
      "Source class:  0.97\n",
      "Target domain:  0.37666667\n",
      "Target class:  0.95\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f0008558110>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_and_evaluate(sess, 'dann_train_op', 'total_loss', verbose=False)\n",
    "extract_and_plot_pca_feats(sess)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Domain adaptation - deeper domain classifier\n",
    "\n",
    "Using a domain classifier that is deeper seems to more reliably collapse the domains on this problem in repeated experiments."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Source domain:  0.92\n",
      "Source class:  0.9766667\n",
      "Target domain:  0.14333333\n",
      "Target class:  0.9533333\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f00084c8710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sess.close()\n",
    "tf.reset_default_graph()\n",
    "build_model(False)\n",
    "sess = tf.InteractiveSession()\n",
    "\n",
    "train_and_evaluate(sess, 'dann_train_op', 'total_loss', verbose=False)\n",
    "extract_and_plot_pca_feats(sess)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
